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interactionTest (version 1.2)

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

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.

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Version

Install

install.packages('interactionTest')

Monthly Downloads

1,080

Version

1.2

License

GPL

Maintainer

Justin Esarey

Last Published

June 6th, 2019

Functions in interactionTest (1.2)

findMultiLims

Determine Critical t-Statistic For Marginal Effects Plot
legfig

Replication data for Clark and Golder (2006)
bootFun

Bootstrapping t-statistics
fdrInteraction

Critical t-statistic