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interactionTest (version 1.0)

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

Description

Implements the procedures suggested in Esarey and Sumner (2015) for controlling the false discovery rate or familywise error 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

1.0

License

GPL

Maintainer

Jane Sumner

Last Published

September 1st, 2015

Functions in interactionTest (1.0)

findMultiLims

Determine Critical t-Statistic For Marginal Effects Plot
fdrInteraction

Critical t-statistic
bootFun

Bootstrapping t-statistics
legfig

Replication data for Clark and Golder (2006)