From aabc8c714a43227e6491f6c14d2d416e24700876 Mon Sep 17 00:00:00 2001 From: "Documenter.jl" Date: Wed, 30 Aug 2023 02:12:38 +0000 Subject: [PATCH] build based on 12a5139 --- dev/index.html | 2 +- dev/search/index.html | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/dev/index.html b/dev/index.html index 6e6c2df..c12d028 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
+polrtest(house_null, z3)
6.709335149358069e-10
diff --git a/dev/search/index.html b/dev/search/index.html index dd334ed..54d0df0 100644 --- a/dev/search/index.html +++ b/dev/search/index.html @@ -1,2 +1,2 @@ -Search · OrdinalMultinomialModels.jl

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    +Search · OrdinalMultinomialModels.jl

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