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interactionTest  

Calculates Critical Test Statistics to Control False Discovery Rates in Marginal Effects Plots
View on CRAN: Click here


Download and install interactionTest package within the R console
Install from CRAN:
install.packages("interactionTest")

Install from Github:
library("remotes")
install_github("cran/interactionTest")

Install by package version:
library("remotes")
install_version("interactionTest", "1.2")



Attach the package and use:
library("interactionTest")
Maintained by
Justin Esarey
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-09-01
Latest Update: 2019-06-06
Description:
Implements the procedures suggested in Esarey and Sumner (2017) for controlling the false discovery rate when constructing marginal effects plots for models with interaction terms.
How to cite:
Justin Esarey (2015). interactionTest: Calculates Critical Test Statistics to Control False Discovery Rates in Marginal Effects Plots. R package version 1.2, https://cran.r-project.org/web/packages/interactionTest. Accessed 08 Jun. 2025.
Previous versions and publish date:
1.0.1 (2017-03-21 17:18), 1.0 (2015-09-01 18:15), 1.1 (2018-11-30 21:50)
Other packages that cited interactionTest R package
View interactionTest citation profile
Other R packages that interactionTest depends, imports, suggests or enhances
Complete documentation for interactionTest
Functions, R codes and Examples using the interactionTest R package
Some associated functions: bootFun . fdrInteraction . findMultiLims . legfig . 
Some associated R codes: bootFun.R . fdrInteraction.R . findMultiLims.R . legfig.R .  Full interactionTest package functions and examples
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