interactionTest: Calculates Critical Test Statistics to Control False Discovery Rates in Marginal Effects Plots

Implements the procedures suggested in Esarey and Sumner (2017) <http://justinesarey.com/interaction-overconfidence.pdf> for controlling the false discovery rate when constructing marginal effects plots for models with interaction terms.

Version:	1.2
Depends:	stats, R (≥ 3.4)
Published:	2019-06-06
Author:	Justin Esarey and Jane Lawrence Sumner
Maintainer:	Justin Esarey <justin at justinesarey.com>
License:	GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation:	no
CRAN checks:	interactionTest results

Documentation:

Reference manual:

interactionTest.pdf

Downloads:

Package source:	interactionTest_1.2.tar.gz
Windows binaries:	r-devel: interactionTest_1.2.zip, r-release: interactionTest_1.2.zip, r-oldrel: interactionTest_1.2.zip
macOS binaries:	r-release (arm64): interactionTest_1.2.tgz, r-oldrel (arm64): interactionTest_1.2.tgz, r-release (x86_64): interactionTest_1.2.tgz, r-oldrel (x86_64): interactionTest_1.2.tgz
Old sources:	interactionTest archive

Reverse dependencies:

Reverse imports:

interplot, modnets, plotMElm

Linking:

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