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ss3sim-letter.tex
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ss3sim-letter.tex
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\documentclass[letterpaper,11pt]{letter}
\usepackage{geometry}
\geometry{letterpaper}
\usepackage{graphicx}
\usepackage{fontspec}
\usepackage{pdfsync}
\defaultfontfeatures{Ligatures=TeX}
\setsansfont{Calibri}
\setmonofont{Inconsolata}
\setmainfont{Linux Libertine}
\topmargin -3cm
\textheight 27cm
\address{Sean C. Anderson, [email protected]\\
Biological Sciences, Simon Fraser University\\
Burnaby, BC, V5A 1S6, Canada}
\begin{document}
\begin{letter}{}
\pagestyle{empty}
\opening{Dear Editor,}
% You should supply an approximately one page cover letter that:
% Concisely summarizes why your paper is a valuable addition to the scientific literature
% Briefly relates your study to previously published work
% Specifies the type of article you are submitting (for example, research article, systematic review, meta-analysis, clinical trial)
% Suggests appropriate PLOS ONE Academic Editors to handle your manuscript (view a complete listing of our academic editors)
% Lists any recommended or opposed reviewers
Please find enclosed a manuscript entitled \textbf{ss3sim: An R package for
fisheries stock assessment simulation with Stock Synthesis} that we wish to
submit for possible publication as a research article in PLOS ONE.
Simulation testing is an important component to developing, verifying, and
understanding increasingly complex fishery stock assessment methods. One of the
more widely used stock assessment methods is Stock Synthesis 3 (SS3). However,
there lacks a generalized framework for simulation testing with Stock Synthesis
--- most work to date has used custom frameworks tailored to the particular
needs of each study.
In our paper, we introduce ss3sim, an R package that facilitates large-scale,
rapid, and reproducible simulation testing with Stock Synthesis. We describe
how ss3sim works, illustrate a simple example with code, compare the package to
other related software, and outline important research questions our package
could address. We also include an R vignette as Supplementary Material, which
describes in greater detail how to use the package and contains reproducible
example code. To our knowledge, ss3sim represents the first open-source
software package for end-to-end stock assessment simulation testing.
We confirm that this manuscript has not been published elsewhere and is not
under consideration by another journal. All authors have approved the
manuscript and agree with its submission to PLOS ONE. We have uploaded four
cited manuscripts that are in review at other journals.
We suggest the following possible Academic Editors:
Steven J. Bograd,
Daniel Duplisea,
Brian R. MacKenzie,
James P. Meador,
Jeffrey Buckel.
We suggest the following possible independent referees:
\begin{description}
\item [Mark N. Maunder] [email protected], Inter-American Tropical Tuna
Commission
\item [Kevin R. Piner] [email protected], NOAA Fisheries, Southwest
Fisheries Science Center
\item [Arni Magnusson] [email protected], Marine Research Institute, Reykjavik,
Iceland
\item [Alan C. Hicks] [email protected], NOAA Fisheries, Northwest
Fisheries Science Center
%\item [Jonathan J. Deroba] [email protected], National Marine Fisheries
%Service, Northeast Fisheries Science Center
\item [Simon D. Hoyle] [email protected], Oceanic Fisheries Program, Secretariat
of the Pacific Community, New Caledonia
\item [David B. Sampson] [email protected], Oregon State
University
\end{description}
Thank you for considering our manuscript for publication and we look forward to
hearing from you.
\bigskip
\closing{Sincerely,\\
Sean Anderson, Cole Monnahan,\\Kelli Johnson, Kotaro Ono,\\Juan Valero}
\end{letter}
\end{document}