species
andgears
columns are now never factors, so no longer need to callas.character()
so often.validParams()
also callsvalidGearParams()
.validParams()
checks thatw_min
is valid for all species and increases it if necessary.species_params<-()
andgiven_species_params<-()
now check that species names match.
getReproductionProportion()
no longer returns incorrect proportions > 1 (#299)
A patch update so that users who had changed w_max
manually in their model
will not get unhelpful error messages when trying to use their model in the
new version. General checking of parameters is made more robust. In particular
validSpeciesParams()
has extra checks on consistency of species parametersvalidParams()
checks that rate arrays contain finite numeric valuesvalidSim()
checks that simulation results are finite and truncates the simulation if they are not.
- Fixed bug that had led
newCommunityParams()
to set up resource parameters differently since version 2.4.0 (#293) addSpecies()
now correctly preserves allspecies_params
of the existing model.addSpecies()
no longer requires new species to grow to maximum size, only maturity size is required.- Now
validGivenSpeciesParams()
validates the given species parameters without adding defaults andvalidSpeciesParams()
validates and returns a completed species parameter dataframe. - New species parameter
w_repro_max
giving the size at which a species invests 100% of its energy into reproduction. Set tow_max
by default. removeSpecies()
now also removes species parameters that are not set for any of the remaining species.- Changing
w_max
now also correctly updatesft_mask
(#296). compareParams()
now also spells out differences in given species parameters.getDiet()
now also includes the contribution of the external encounter rate to the diet.setPredKernel()
now throws an error if some of the required predation kernel parameters are NA.- In
plotYieldGear()
one can select a subset of gears with newgears
argument. - New helper function
valid_gears_arg()
to check thegears
argument in functions that take agears
argument. - Improved scaling of the y-axis in
plotGrowthCurves()
. steadySingleSpecies()
no longer requires species to grow tow_max
.matchGrowth()
now also rescales the external encounter rate.setExtEncounter()
no longer resets the external encounter rate to zero when called without theext_encounter
argument.- The function
plotBiomassObservedVsModel()
now plots the ratio of modelled to observed biomass as default (ratio = T
), as this is more useful visually to see how far off modelled biomass is from observed biomass. - The
time_modified
field is now updated correctly bysteadySingleSpecies()
,setColours()
andsetLinetypes()
. - Deprecated
matchYields()
andcalibrateYield()
. - Improved some unit tests.
- Some improvements to documentation.
This is a patch release made necessary by a change in CRAN's requirement regarding the vignettes. It also includes a bug fix:
project()
andprojectToSteady(..., return_sim = TRUE)
now correctly returns also the other components of the MizerSim object stored inn_other
. #285
This release introduces a change that requires you to upgrade your old
MizerParams and MizerSim objects with upgradeParams()
or upgradeSim()
.
Now the model can include an external encounter rate that represents the
rate at which a predator encounters food that is not explicitly modelled.
This encounter rate is set with setExtEncounter()
or ext_encounter<-()
and can be read with getExtEncounter()
or ext_encounter()
. So this is
similar to how external mortality is handled.
You can now use given_species_params()
to see the species parameter
values that you have explicitly specified and calculated_species_params()
to see the species parameter values that mizer has calculated automatically or
set to defaults. You can continue to use species_params()
to get all
species parameters, irrespective of whether they were given or calculated.
You can still set parameter values with species_params<-()
, but you can also
use the stronger given_species_params<-()
which not only sets the values you
give but also triggers a re-calculation of the calculated species parameters.
Using given_species_params<-()
is therefore usually the better option.
There is now a three-part mizer course at https://mizer.course.sizespectrum.org with each part consisting of several tutorials, including code and exercises:
-
Part 1: Understand
You will gain an understanding of size spectra and their dynamics by exploring simple example systems hands-on with mizer. -
Part 2: Build
You will build your own multi-species mizer model for the Celtic sea, following our example. You can also create a model for your own area of interest. -
Part 3: Use
You will explore the effects of changes in fishing and changes in resource dynamics on the fish community and the fisheries yield. You will run your own model scenarios.
- Warnings are given if user gives irrelevant species parameter values.
- Some messages have been converted to warnings and some to signals that are not shown as frequently.
- Frequent warnings are avoided when length-based and weight-based parameters are both given and are inconsistent. #277
- Documentation of
effort
argument inproject()
is improved. - An error message is given if a predation kernel returns negative values or is everywhere zero. #283
- When the coefficient
h
of the maximum intake rate is not given, it is now again given a default value. #282 matchGrowth()
no longer gives an error when there is now_inf
column. #279
This minor release was made necessary to keep mizer on CRAN after a unit test failed on macOS 13.3 with version 14.3 of the CLT toolchain.
This release introduces a change that requires you to upgrade your old
MizerParams and MizerSim objects with upgradeParams()
or upgradeSim()
.
For an explanation see blog post at https://blog.mizer.sizespectrum.org/posts/2022-11-30-dont-use-von-bertalanffy-growth-parameters/
The species parameter that specifies the size at which also the largest fish stop
growing is renamed from w_inf
to w_max
. The parameter w_inf
is now
reserved for the von Bertalanffy asymptotic size parameter. If you upgrade
your existing MizerParams object with upgradeParams()
the w_inf
column is
copied over to the w_max
column automatically, but you may want to change
the values yourself if they do not currently reflect the maximum size of the
species. Otherwise the size distributions predicted by mizer will not match
observations.
The resource parameters kappa
and lambda
are now used to set the abundance
of the resource in the steady state rather than the carrying capacity, because
the latter is not observable.
While tuning the steady state using the steady()
function the resource
abundance is now being kept fixed at the chosen value. Then the resource
dynamics can be switched on later with setResource()
without changing the
steady state. At that stage you only choose either the resource intrinsic
growth rate or the resource carrying capacity and the other is determined by
setResource()
in such a way that the resource replenishes at the same rate at
which it is consumed. If you want to keep the old behaviour and switch off this
automatic balancing you have to add the balance = FALSE
argument when calling
setResource()
.
You can also choose between semichemostat dynamics resource_semichemostat()
or logistic dynamics resource_logistic()
or you can write your own function
implementing more sophisticated resource dynamics.
The setParams()
function no longer includes the arguments for setting the
resource parameters. Instead you set these separately with setResource()
.
As explained in the blog post at https://blog.mizer.sizespectrum.org/posts/2022-11-30-dont-use-von-bertalanffy-growth-parameters/,
the von Bertalanffy curves fitted to size-at-age
data are not suitable for estimating the size-dependent growth rates in mizer.
It is therefore now recommended that instead of von Bertalanffy parameters you
supply the age at maturity in the age_mat
column of the species parameter
data frame. This is then used by mizer to calculate a default for the
maximum intake rate parameter h
if you do not supply this.
In the past, whenever you changed any model parameters, you needed to re-tune
other parameters to keep the growth rates in line with observations. There is
now a new function matchGrowth()
that automatically scales the search volume,
the maximum consumption rate and the metabolic rate all by the same factor in
order to achieve a growth rate that allows individuals to reach their maturity
size by their maturity age while keeping the feeding level and the critical
feeding level unchanged. This function does not however preserve the steady
state, so you will need to also call steady()
after matching the growth rates.
- New function
steadySingleSpecies()
that only balances the size-spectrum dynamics while ignoring multi-species effects. In other words, it calculates the steady-state size spectrum of each species as it would be if the abundance of prey and predators could be kept constant at their current values. plotGrowthCurves()
can now superimpose a scatterplot of size-at-age data if you supply this via the newsize_at_age
argument.- New functions
calibrateNumber()
andmatchNumbers()
that are likecalibrateBiomass()
andmatchBiomasses()
but work with observed numbers instead of observed biomasses. - New function
age_mat()
to calculate the age at maturity from the growth rate and the size at maturity. - If an effort vector or effort array contains NA's, these are now replaced by the default effort value. #230
- The entries of the interaction matrix and of interaction_resource are no longer restricted to be less or equal to 1. #232
- If user supplies no row names in the interaction matrix but gives column names then the column names are also used as row names. #247
project()
now also works when called with a MizerSim object with additional components.steady()
now preserves the RDD function in the MizerParams object rather than always setting it to "BevertonHoltRDD".- When averaging abundances over time in
plotSpectra()
orsetInitialValues()
the user can now choose geometric averaging withgeometric_mean = TRUE
. - The
w_mat25
species parameter is no longer filled in automatically if it is not supplied. This makes it easier to changew_mat
without having to changew_mat25
at the same time. compareParams()
now also checks the validity of its second argument.- Hide the printing of messages about chosen defaults in
newTraitParams()
. - Higher values for the
info_level
argument innewMultispeciesParams()
now leads to more messages. - Giving more helpful messages in
validSpeciesParams()
. #136 - New helper functions
l2w()
andw2l()
for converting between length-based and weight-based species parameters. #258 - Check that assessor functions for MizerSim slots are called with a MizerSim object.
- Add
style
argument toplotDataFrame()
to facilitate producing area plots. - Add
wrap_scale
argument toplotDataFrame()
to control scaling of axes in faceted plots. plotDiet()
can now show diets of several predator species in a faceted plot. #267- Change from
size
tolinewidth
aesthetic to avoid warnings in new version of ggplot2. - Better error message when functions are called with no valid species selected. #251
- If there are no differences then
compareParams()
says so clearly. getReproductionLevel()
works as long asR_max
is set. #252- Converted several unit tests to edition 3 of testthat package.
- Improved documentation for
gear_params()
. - Improved defaults can now be implemented while keeping backwards compatibility
via
defaults_edition()
. #186 - New defaults edition 2: catchability = 0.3 instead of 1, initial effort = 1 instead of 0. #243
- In defaults edition 2,
get_gamma_default()
ensures a feeding level off0
for larvae also ifinteraction_resource
is not equal to 1. #238 - Set default linecolour and linetype for external mortality.
- Restored the line colours to
NS_params
- Comment field now preserved by
set_species_default()
. #268 - Comment on
w_inf
no longer leads to error inplyr::aaply()
. #269 - Can now again set
url
field in metadata. - Correct species now listed in the legend of
plotYieldObservedVsModel()
andplotBiomassObservedVsModel()
. #266 - Standard order for legend in
plotDiet()
restored after change toggplot2
package. #265 - Fix handling of column names when interaction matrix is read from .csv file. #263
- Resolved conflict in
mizerPredRate()
between the argumentt
and the functionbase::t()
. - Assert that upgradeParams() must be called with a MizerParams object and
upgradeSim()
with a MizerSim object. - Errors changed to warnings in
getRequiredRDD()
renameSpecies()
no longer fails when linecolour and linetype are of different lengths.- matchYields() now also works for a model with only a single species.
setInitialValues()
can now average over a time_range.getSSB()
,getBiomass()
,getN()
,getYieldGear()
andgetYield()
can now be called with a MizerParams object as well as with a MizerSim object. (#200)- Updated the shiny app in inst/shiny/selectivity_effects to current mizer version.
- New plots
plotBiomassObservedVsModel()
andplotYieldObservedVsModel()
contributed by @SamikDatta., together with their plotly counterparts. - New
calibrateBiomass()
,calibrateYield()
to set the model scale to agree with total observed biomass or total observed yield. Uses the newscaleModel()
. - New
matchBiomasses()
andmatchYields()
will try to adjust the abundances of the species to produce the observed biomasses or yields. See blog post at https://bit.ly/2YqXESV . - There are now accessor and replacement functions for rates. So for example
instead of
params <- setReproduction(params, maturity = my_maturity)
one can simply usematurity(params) <- my_maturity
. These are documented together with the setter functions. #213 - New
setMetadata()
to add information to a MizerParams object describing the model, for example a title, a description, the author or list of authors, a url and a doi. This will be particularly useful for sharing your models with others - New
saveParams()
for saving a MizerParams object to a file andreadParams()
for reading it back in. The resulting files can be shared with others who want to run your model. - A MizerParams object now registers the mizer version under which the model was last saved. Should the model not be working as expected in the current version of mizer, you can go back to the older version under which presumably it was working. This helps with the reproducibility of your research.
- A MizerParams object registers the time when it was created and the time it
was last modified. See
getMetadata()
. This helps you keep track of different versions of your model. steady()
now has apreserve
argument with possible valueserepro
,R_max
orreproduction_level
to specify which quantity to preserve. This means that one can continue to usesteady()
also once one has started to tune the density dependence in reproduction. #208- Our website is now using the nice new mizer logo designed by Kira Askaroff (www.kiraaskaroff.com)
- There is a new mizer extension package mizerMR allowing you to include multiple resource spectra in your model.
- The rownames of
gear_params
are now set to "species, gear", so that one can access individual entries with for examplegear_params(NS_params)["Cod, Otter", "catchability"]
. #212 - The
z0
argument ofsetExtMort()
has been deprecated in favour ofext_mort
in order to avoid confusion with the species parameterz0
. setColours()
andsetLinetypes()
now issue warnings when invalid values are given and ignores NAs.- The experimental
comment
arguments to the setter functions have been removed. #214 - The setter functions have a new
reset
argument which, when set toTRUE
will recalculate the rates from the species_, gear_ and resource_params even when custom values had been set. #214 - The
species
argument to various functions, which is checked withvalid_species_arg()
, now does not throw an error even when there is no valid species included. Only a warning is issued. That means that for exampleplotSpectra(NS_params, species = list(), total = TRUE)
is now allowed. getComponent()
from the mizer extension mechanism now returns NULL when asked for a non-existent component instead of giving an error. This gives an easy way to check for the existence of a component.- The example interaction matrix
inter
for the North Sea model now has the alternative nameNS_interaction
, with the old name deprecated. - Species added with
addSpecies()
are now by default given a reproduction level of 1/4 instead of 0, because at the low densities at which they are introduced there would otherwise not be enough density dependence to stabilise them. - The size range arguments
min_w
,max_w
,min_l
andmax_l
used in some summary functions and processed byget_size_range_array()
accept vector values setting different limits for different species. - The resource dynamics function is now also passed the
resource_rate
and theresource_capacity
as arguments, which makes it easier to use them in extension packages. - Species names are now always coerced to strings, even if the user gives them as numbers. #202
- There is a new system for informing the user about how defaults were set by
newMultispeciesParams()
, #199 - Many improvements in the documentation.
- Many small improvements to code quality and testing.
- Better social media cards, especially for twitter.
- mizer can be run on binder, https://mybinder.org/v2/gh/sizespectrum/mizer/HEAD?urlpath=rstudio
- Changing
linecolour
orlinetype
in the species parameters now actually changes the linecolours and linetypes as intended. - Growth curves calculated with
getGrowthCurves()
and plotted withplotGrowthCurves()
are now correct, and no longer extend above the asymptotic size. plotGrowthCurves()
withspecies_panel = TRUE
now respects thespecies
argument to only show growth curves for selected species, it works with a MizerParams object as well as a MizerSim object, and it shows the panels in the correct order. #201- Reinstated the example .csv files that were missing from the package because the vignettes are no longer included.
- The
setBevertonHolt()
function has been expanded with more arguments. It allows you to change the density dependence in reproduction without changing the steady state of your model. - The new
getReproductionLevel()
function tells you at what proportion of their maximum reproduction rate the species are operating in your model. - The package now comes with an example MizerSim object
NS_sim
which holds a simulation of the North Sea model. - New function
plotDataFrame()
allows easier creation of plots.
setInitialValues()
correctly preserves the gear names on the initial effort. Thanks to Axel Rossberg.getFMort()
correctly passes thet
argument on to any custom fishing mortality function you may have written.- The legends in the plots now only show the species that are actually included in the plot.
- Speed improvement in
mizerPredMort()
suggested by Axel Rossberg. plotSpectra()
now only shows those species in the legend that are actually contained in the plot.- Updated tests of plots to use new version of vdiffr package.
- Some improvements to the examples on the help pages.
- Some functions do more thorough tests of their arguments to give more useful error messages.
initialNOther()
also works with MizerSim object.- When
projectToSteady()
is called witheffort
, this effort is now also stored in theinitial_effort
slot. - Improvement to
summary()
which is now usingsprintf()
for better formatting and also gives the initial_effort. - Improved documentation of size grid and bins.
- The arguments to
project_simple()
have been given convenient defaults. - The tooltips in the plotly plots have been cleaned up a bit.
- Species names are now always coerced to strings, even if the user supplies numeric names.
- Update to the "A Multi-Species Model of the North Sea" tutorial to use
projectToSteady()
.
- New function
newSingleSpeciesParams()
for creating a single species in a power-law background. - New function
animateSpectra()
creating an animated plot of a simulation. - New functions
addSpecies()
,removeSpecies()
andrenameSpecies()
. - The parameters for an ecosystem component added with
setComponent()
can now take any form, they no longer have to be a named list. - New argument
return_data
in the plot's functions allows to return the data frame used for the ggplot instead of the plot.
steady()
no longer switches off the Beverton-Holt density dependence. You can do this manually withsetBevertonHolt()
withR_factor = Inf
.
getYield()
now also works with density-dependent fishing mortality. Thanks to James Roger for discovering the problem.- The
gamma
argument now is no longer ignored innewTraitParams()
but correctly overrides thef0
argument. #188 getFMort()
again works correctly when called with a MizerSim object.resource_semichemostat()
no longer fail when at some sizes both the resource growth rate and the resource mortality rate are both zero.- The default for
no_w
innewTraitParams()
is now always an integer. - Problems with different machine precision no longer prompts the error
"The
w_min_idx
should point to the start of the size bin containing the egg sizew_min
". - `addSpecies() no longer extends grid due to rounding errors.
- If
valid_species_arg()
is called withspecies = NULL
and there are no background species then it returnsNULL
.
- New tutorial about single-species sizes-spectrum dynamics.
- Improved documentation of
getDiet()
andplotDiet()
. - More info on units added to documentation of summary functions.
- New function
projectToSteady()
to run the full dynamics to steady state. - New functions
distanceSSLogN()
anddistanceMaxRelRDI()
to measure distance between two states. - New function
compareParams()
to compare two MizerParams objects. - Added
constantEggRDI()
to allow keeping egg densities fixed. - When setting custom parameter arrays with the setter functions, it is now easy for the user to document that via "comment" arguments. #177
- New function
customFunction()
to allow users to overwrite mizer functions. - Now if the effort is specified as a named vector giving values only for some gears, the effort for the remaining gears is assumed to be zero.
- Added the possibility to see the output of
plotGrowthCurves
as a panel of species with their respective Von Bertalanffy curves
- By default, the functions
plotPredMort()
andplotFMort
will stop displaying mortality values past the species' asymptotic size. The argument
all.sizes
allows you to continue to show these values.
getFMort()
now passes time argument correctly. #181validEffortArray()
now sets the dimnames correctly. #173
- Using
lifecycle
package to indicate status of some functions and arguments as 'experimental' or 'deprecated'. - Improved error handling in
setFishing()
. #172 - Made use of vdiffr conditional, as required by §1.1.3.1 of 'Writing R Extensions'.
- Consistent handling of
species
argument in mizer functions, via the newvalid_species_arg()
function. #170 - More tests. Test coverage now at 94.71%
- Improved argument checking in
setInitialValues()
- Throwing error if
min_w_pp
is larger thanmin_w
- Improved documentation of functions for getting fishing mortality.
- The value of
t
passed to dynamics functions has been corrected. setReproduction()
now correctly sets the the total proportion psi when the maturity proportion is changed.
- The way times are set in
project()
has been simplified. They are now either set by the argumentst_start
,t_max
andt_save
or by the dimension names of theeffort
array. - Renamed
setRmax()
tosetBevertonHolt()
and allow it to work on an arbitrary MizerParams object. The old namesetRmax()
is still available as alias. mizerFMort()
now can also use the abundances and the ratese_growth
andpred_mort
. This is useful for example for implementing balanced harvesting.- A calculation in the numeric scheme has been simplified.
gear_params
is allowed to have zero rows.- In
validGearParams()
the species name is used as gear name in casegear_name
is NA. validGearParams()
ensures that all required arguments of the selectivity function are supplied and checks validity of species names.species_params()<-
suppresses warnings.- When
steady()
fails because RDI is zero it gives a meaningful error message. newCommunityParams()
now protects its zero investment in reproduction with a comment.- The default maturity ogive is truncated at proportions smaller than 1e-8.
- A new helper function
valid_species_arg()
checks validity of species selection arguments. upgradeParams()
can now also upgrade old MizerParams objects that do not have a consistentinitial_effort
.- A new helper function
validParams()
validates a MizerParams object and automatically upgrades it withupgradeParams()
if necessary. - Old MizerParams objects are updated automatically when used in plot functions,
rate functions, summary functions or in
project()
orsteady()
, #163. - New function
getRates()
to calculates all rates and collects them in a list. steady()
withreturn_sim = TRUE
now creates the MizerSim object the same way asproject()
, namely with the original values in the first time slot.- Added documentation for
species_params()
,gear_params()
andresource_params()
. - Numerous small improvements to documentation.
- Correct handling of shiny progress bar in
project()
.
- Consistently passing the time argument to the rate functions. This will allow extensions to implement time-dependent rates.
- Passing growth and mortality rate to RDI function.
- Simplified the
getRates()
functions by removing the arguments that passed in other rates. Instead the required rates are now always calculated within these functions. - Improved documentation of rate functions and of how to register your own rate functions.
- In
validGearParams()
handle NAs more gracefully and check that there are no duplicates. - Updated hake-mullet selectivity demonstration shiny app.
- Improved user documentation in several places.
- Time passed to rate functions is now the actual simulation time, not the time elapsed since start of simulation.
upgradeParams()
works also on params objects that were created with a development version of mizer.- When upgrading an older params object,
upgradeParams()
does a better job at guessing the value forw_pp_cutoff
. getFeedingLevel()
,getPredMort()
,setInitialValues()
andsteady()
now work also when model has extra components.- The critical feeding level lines are now mentioned in the legend of
plotFeedinglevel()
when called withinclude_critical = TRUE
, see #162. - Avoid annoying warnings from dplyr package when
species_params
is a tibble.
- Renamed the functions
params()
,effort()
andtimes()
togetParams()
,getEffort()
andgetTimes()
to avoid conflicts.
- Some improvements to documentation.
- More unit tests.
- Uses less memory when time step is very small by not creating array with effort values at each time step.
getDiet()
also takes into account possible contributions by user-defined other components.- In extension mechanism, now the name of a component is also passed to the functions implementing dynamics, encounter and mortality.
- If
project()
is called witht_max < t_save
thent_save
is automatically reduced so that the result att_max
will get saved. - Start showing progress bar earlier during
project()
. - New helper function
project_simple()
that projects a given number of time steps. This might be useful to extension writers. - The
...
argument toproject()
is passed on to the dynamics and rate functions. steady()
runs faster by usingproject_simple()
.- Documentation on mizer website now has a search bar.
summary()
now also works with non-default feeding kernels. #159validSpeciesParams()
no longer fails whenw_mat25
is not specified. #160setInitialValues()
also works in a model with only a single species. #161resource_params()<-
now works and has unit tests.
Some inconsistencies in the choice of names for parameters was removed by renaming
interaction_p
->interaction_resource
r_resource
->resource_rate
K_resource
->resource_capacity
- New functions
other_params()<-
andother_params()
for setting and getting other parameters, for example to be used in user-defined rate functions. setInitialValues()
also setsinitial_effort
. #157
This is a major new release with many new features, an internal refactoring of the code and a new extension mechanism.
Nevertheless this version of mizer is almost fully backwards compatible with version 1.0 with the exception of bug fixes and the following breaking changes:
- The previous version of mizer inconsistently truncated the lognormal predation kernel when calculating predation but not when calculating encounter. The new version never truncates. That leads to very small differences in simulation results.
- Removed the
print_it
argument from plot functions. plotFeedingLevel()
now only plots the values within the size range of each species. If for some reason you want the old plots that show a feeding level also for sizes that the fish can never have, you need to supply an argumentall.sizes = TRUE
.- The way the density-dependence in the reproduction rate is set has changed,
see
RDD
argument insetReproduction()
. - The
sex_ratio
argument has been removed fromgetRDI()
andgetRDD()
. - The
set_scaling_model()
function has been removed because such models can now be set up withnewTraitParams()
with the optionsperfect_scaling = TRUE
andegg_size_scaling = TRUE
. - The functions
display_frames()
,addSpecies()
,setBackground()
andretuneAbundance()
have been removed to the "mizerExperimental" package (https://sizespectrum.org/mizerExperimental/) - During runs of
project()
a progress bar is displayed by default. You can turn this off with the option `progress_bar = FALSE. - Throughout mizer the term "plankton" has been replaced by "resource", which affects the labelling of the resource spectrum in plots.
The new functions
newCommunityParams()
newTraitParams()
newMultispeciesParams()
replace the old functions set_community_model()
, set_trait_model()
and
MizerParams()
, which are now deprecated. The new functions choose better
default values, in particular for metabolic rate and maximum intake rate.
After setting up a mizer model, it is possible to change specific model parameters with the new functions
species_params<-()
resource_params<-()
gear_params<-()
setPredKernel()
setSearchVolume()
setInteraction()
setMaxIntakeRate()
setMetabolicRate()
setExtMort()
setReproduction()
setFishing()
setResource()
The new function setParams()
is a wrapper for all of the above functions
and is also used when setting up a new model with newMultispeciesParams()
.
(#51)
The documentation for these functions serves to explain the details of the mizer model.
Along with these setter functions there are accessor functions for getting the
parameter arrays: getPredKernel()
, getSearchVolume()
,
getInteraction()
, getMaxIntakeRate()
, getMetabolicRate()
,
getExtMort()
, getMaturityProportion()
, getReproductionProportion()
,
getCatchability()
, getSelectivity()
, getResourceRate()
,
getResourceCapacity()
, getResourceParams()
, getResourceDynamics()
,
- Setting of the maximum reproduction rate has been separated out into new
function
setRmax()
.
The MizerParams object now also contains the initial values for the size
spectra. This is particularly useful if the model has been tuned to produce
the observed steady state. The new function steady()
finds a steady state
for a model and sets it as the initial value. The initial values can be
accessed and changed via functions initialN()
and initialNResource()
. The
initial values can be set to the final values of a previous simulation with
setInitialValues()
.
The MizerParams object now has a slot initial_effort
that specifies the
initial fishing effort to which the steady state has been calibrated.
Mizer now has an extension mechanism that allows other R packages to be
written to generalise the mizer model. See setRateFunction()
and
setComponent()
. This mechanism is still experimental and may change as we
gain experience in writing extensions for mizer.
- Every plot function now has a plotly version that makes the plot interactive
using the plotly package. So for example there is
plotlyBiomass()
as the plotly version ofplotBiomass()
, and so on. - New
plotGrowthCurves()
plots growth curves and compares them to the von Bertalanffy growth curve. - New
plotDiet()
plots the diet composition as a function of predator size. - New
highlight
argument to all plot functions that display curves for multiple species. Displays highlighted species with wider lines. - In the legends of all plots the species are now consistently ordered in the same way as in the species parameter data frame.
- All plot functions that are not time-resolved now accept also a MizerParams object as an alternative to the MizerSim object to plot the initial state.
- New
plot()
method for MizerParams object to plot the initial state. - Avoiding duplicate graphs in R Markdown documents.
- New argument
include_critical
inplotFeedingLevel()
allows to show also the critical feeding level. - New
wlim
argument toplotSpectra()
in analogy to the existingylim
argument to limit thew
range in the plot. - The colours used in plot functions can be set with
setColours()
. - The default line type is
solid
but this can be changed via thesetLinetypes()
function. - Use colour and linetype for plots irrespective of the number of species.
- Users can now replace the lognormal function in the predation kernel by a function of their choice, allowing a differently shaped kernel for each species.
- New
box_pred_kernel()
implements a box-shaped kernel as an alternative to the defaultlognormal_pred_kernel()
. - New
power_law_pred_kernel()
implements a power-law kernel with sigmoidal cutoffs at both ends. This is suitable for filter feeders. - Users can sets a predation kernel that has a predator-size-dependent
predator/prey mass ration (via
setPredKernel()
). Mizer automatically falls back on the old non-FFT code to handle this. (#41) - New
getPredKernel()
returns the full 3-dimensional predation kernel array, even when this is not stored in MizerParams object.
Now it is finally possible to have several gears (or fleets) targeting the same
species. The information is set up via a new gear_params()
data frame. See
setFishing()
for details.
- There are now accessor functions for all slots in the MizerParams and
MizerSim objects. For example to get at the size grid and its spacing you
would now use
w()
,w_full()
,dw()
,dw_full()
. - New
upgradeParams()
andupgradeSim()
can upgrade objects from previous versions of mizer so they work with the new version. - New
getDiet()
calculates the diet of predators. (#43) - Alternative functions
RickerRDD()
andSheperdRDD()
for density-dependence in reproduction, as well asnoRDD()
andconstantRDD()
. - New gear selectivity function
double_sigmoid_length()
allows modelling of escape of large individuals. - New gear selectivity function
sigmoidal_weight()
is weight-based trawl selectivity function. (Ken H Andersen) - New
getGrowthCurves()
calculates the growth curves (size at age). - New
mizerRates()
calculates all the rates needed in the model and collects them in a list. - A convenience function
times()
to extract the times at which simulation results are saved in a MizerSim object. - Convenience functions
finalN()
,finalNResource()
andfinalNOther()
as well asidxFinalT()
to access the values at the final time of a simulation. - New function
getCriticalFeedingLevel()
returns the critical feeding level for each species at each size. - Mizer reexports the
melt()
function from the reshape2 package which allows users to convert the arrays returned by mizer functions into data frames that can be used for example in ggplot2 and plotly. validSpeciesParams()
checks validity of species parameter data frame and sets defaults for missing but required parameters.
- The allometric exponents
n
,p
andq
as well as the feeding levelf0
can now be set at the species level via columns inspecies_params
. - The critical feeding level
fc
can now be specified as a species parameter and will be used to calculate the metabolic rate parameterks
if it is not supplied. project()
now shows a progress bar while a simulation is running. Can be turned off withprogress_bar = FALSE
argument.- Satiation can be switched off by setting the maximum intake rate to
Inf
. - Users can now set their own resource dynamics instead of the default
resource_semichemostat()
. - Different species can interact with resource with different strengths, or not
feed on resource at all, controlled by an
interaction_resource
column in the species parameter data frame. - The steepness of the maturity ogive can now be controlled via a
w_mat25
column in the species parameter dataframe, which gives the size at which 25% of the individuals of a species are mature. - The scaling exponent for the allocation of energy into reproduction can
now be set via the
m
column in the species parameter data frame. project()
can now continue projection from last time step of a previous simulation if the first argument is a MizerSim object. The newappend
argument then controls whether the new results are appended to the old.- Values for minimum resource size, and minimum and maximum consumer sizes are
set automatically if not provided in
newMultispeciesParams()
. - Default values for species parameters are used for missing values within a column in the species parameter data frame, not only if the column is missing entirely.
- Rate functions take defaults for their
n
,n_pp
andn_other
arguments from the initial values in theparams
argument. - New
perfect_scaling
argument allowsnewTraitParams()
to produce a perfectly scale-invariant model. - A new
ext_mort_prop
argument innewTraitParams()
allows the inclusion of external mortality. - Added a data file
NS_params
with the North Sea model MizerParams object. - Comments can be added to MizerParams objects and any of their slots. Slots that have comments are protected from being overwritten with allometric defaults.
- Gear selectivity functions now can use the species parameters.
- Mizer now has a documentation website at https://sizespectrum.org/mizer/ for the latest released version and at https://sizespectrum.org/mizer/dev/ for the development version. (#48)
- The help pages of mizer functions has been extended massively, see for
example the help for
newMultispeciesParams()
. - The vignette chapters are shown as pages on the website.
- The html help pages for plotting functions now show example plots.
- Clarified that mizer uses grams and years as size and time units and is agnostic about whether abundances are per area, per volume or per study area. (#42)
- Added a tutorial on using ggplot2 and plotly with mizer.
- Added a tutorial on working with git and GitHub for mizer development.
- Added a FAQ page for developers.
- Added a unit test to automatically run a spell check on documentation.
- Renamed some functions for consistency and to make them easier to understand,
but kept old names as aliases for backwards compatibility:
getmM2()
->getPredMort()
plotM2
->plotPredMort()
getM2background()
->getResourceMort()
getZ()
->getMort()
getESpawning()
->getERepro()
MizerParams()
->emptyParams()
orset_multispecies_model()
- Renamed maximum reproductive rate from
r_max
toR_max
. - Updated list of publications (@Kenhasteandersen)
- Using R Markdown in all roxygen comments.
- In
getSSB()
, the calculation of the spawning stock biomass is done correctly using the maturity ogive instead of the proportion of energy allocated to reproduction. (#47) - The fast FFT method and the old method for calculating integrals now give the same numerical results. (#39)
getEncounter()
andgetPredRate()
now set names on the returned arrays.- Resource carrying capacity for scale-invariant model is calculated in a way that reduces rounding errors.
- Avoids potential problems with negative numbers due to numerical errors.
- Consistently cutting off predation kernel at 0 and beta + 3 sigma.
- The
ylim
argument is not handled correctly in plots. display_frame()
is now exported.plotGrowthCurves()
andgetGrowthCurves()
also works when there is only a single speciest_start
argument inproject()
is used correctly- times are not truncated at 3 significant figures, because that would not allow something like 2019.
get_initial_n()
gets values forn
andq
from params objectsummary()
of MizerParams object reflects the number of non-empty resource bins. (@patricksykes)
- Now using vdiffr package to test plots.
- Converted all S4 methods to functions to decrease the learning curve for new developers.
- The calculation of defaults is now handled by new
get_gamma_default()
,get_h_default()
andget_ks_default()
, making it easier to change or extend these in the future. - Helper function
set_species_param_default()
makes it easier to set default values for species parameters. - Simplified FFT calculations are more readable.
- Using
@inherit
functionality of roxygen2 to reduce duplication in roxygen documentation. - Using `@family' to group function documentation pages.
- The helper functions are now documented and exported.
getPhiPrey()
is replaced bygetEncounter()
which now returns the full encounter rate, including the contribution from other components. Even in the absence of other components,getEncounter()
differs from the oldgetPhiPrey()
because it includes the search volume factor.- Changed naming convention: user-facing function names are now in camelCase.
- Consistently use
params
to refer to an argument of class MizerParams,sim
to refer to an argument of class MizerSim, andobject
to an argument that can be either. - Updated the calls to
setClass()
to follow the new guidelines, replacingrepresentation
byclass
and removingprototype
andvalidity
. - Added numerical tests.
- Using assert_that to check arguments to functions more often.
- Argument
shiny_progress
renamed toprogress_bar
because they control any type of progress bar. - In documentation renamed "background" and "plankton" consistently to "resource".
- Using
outer()
instead oftapply()
where possible to improve readability. - Avoiding use of
hasArg()
andanyNA()
because they were not available in R 3.1 - A more robust code for setting up the size grids.
- Improved consistency of when to issue warnings and when to issue messages.
- Split large code files into smaller files.
- Changes to MizerParams class:
- Merged
@std_metab
and@activity
slots into a single@metab
slot. - Moved
@w_min_idx
out of@species_params
into its own slot. - Added slot
@maturity
to hold the maturity ogive. - Added slot
@pred_kernel
to hold predation kernel if it has variable predator/prey ratio. - Added slot
@resource_dynamics
to allow user to specify alternative resource dynamics. - Added slot
@gear_dynamics
to species to be targeted by multiple gears. - Added slot
@ft_mask
that is used when calculating predation rates using the Fourier transform method. - Added slot
@rates_funcs
to allow mizer extensions to replace mizer rate functions with their own rate functions. - Instead of the function in the slot
@srr
we now have the name of the function in@rate_funcs$RDD
, see #91. - Added slots
@other_dynamics
,@other_params
,@other_encounter
,@other_mort
and@initial_n_other
to allow mizer extensions to add more ecosystem components.
- Merged
- Now compatible with older versions of R > 3.1.0.
- Skipping a test on CRAN that fails on some machines with different precision.
- Fixing minor typos in documentation.
- Fixed bugs in how the start time of a simulation was handled. This leads to small corrections, so that the output of this version is slightly different from previous versions.
- Introduced a scale-invariant trait-based model, set up with
set_scaling_model()
, see section 12 in the vignette. - Added a function that adds news species to a scale-invariant background, and computes an approximately steady state close to the power law, see section 13 in the vignette.
- Created an example shiny app to allow people to use mizer through a web browser without having to install mizer. The app explores the effect of more selective fishing gear in a case study.
- Improvements to plots:
- Added units to axes
- Added function for plotting growth curves
PlotYield()
no longer fails when species names are numbers or when a species abundance is zero- Added a
total
parameter to several plot functions to add the curve for the total community (sum over all species and resource) - Added a
species
parameter to all plot functions to allow for only a selection of species to be plotted - Allow the number of ticks on y-axis in biomass plot to be controlled
- Allow for size- and species-dependent background death.
- Add
@initial_n
and@initial_n_pp
slots to MizerParams class. - Now checking that effort times are increasing.
- Corrections in the documentation.
- Improvements to the vignette.
- Add a test of the numeric solution against an analytic solution.
- Improvements made to the speed by evaluating convolution sums via fft,
removing the bottlenecks in
getPhiPrey()
andgetPredRate()
. - Using C++ for the inner loop in the project method for extra speed.
- Minor corrections to vignette and documentation to bring them into alignment and to document the new home on GitHub and new maintainers.
- Improvements made to the speed of the simulations. Remaining bottle necks
are the sweep statements in
getPhiPrey()
andgetPredRate()
. - Moved tests to new suggested folder.
- Minor changes to documentation to pass new check requirements.
- Release to coincide with the submission of the MEE paper. No major changes. Just minor bug fixes.
- Beta release - just about works but still some gremlins to sort out. There are a number of features I'd like to add in the coming releases.