diff --git a/dev/.documenter-siteinfo.json b/dev/.documenter-siteinfo.json index 2e147e6..88cf6e1 100644 --- a/dev/.documenter-siteinfo.json +++ b/dev/.documenter-siteinfo.json @@ -1 +1 @@ -{"documenter":{"julia_version":"1.6.7","generation_timestamp":"2024-11-19T02:36:47","documenter_version":"1.8.0"}} \ No newline at end of file +{"documenter":{"julia_version":"1.6.7","generation_timestamp":"2024-11-20T02:32:25","documenter_version":"1.8.0"}} \ No newline at end of file diff --git a/dev/index.html b/dev/index.html index a9a044e..81b361c 100644 --- a/dev/index.html +++ b/dev/index.html @@ -183,4 +183,4 @@ # calculate p-value polrtest(house_null, cont; test=:score)
0.0001648743597587817
Step 3: Now suppose we want to test significance of another predictor, z1
. We just need to call polrtest
with z1
and the same fiited null model. No model fitting is needed.
For demonstration purpose, we generate z1
randomly. The score test p-value of z1
is, not suprisingly, large.
z1 = randn(nobs(house_null))
polrtest(house_null, z1)
0.1673512522966108
Step 4: We can also test a set of precitors or a factor.
z3 = randn(nobs(house_null), 3)
-polrtest(house_null, z3)
6.709335149358069e-10
Settings
This document was generated with Documenter.jl version 1.8.0 on Tuesday 19 November 2024. Using Julia version 1.6.7.