interactionTest: Calculates Critical Test Statistics to Control False Discovery and Familywise Error Rates in Marginal Effects Plots
Version 1.0.1

Implements the procedures suggested in Esarey and Sumner (2017) for controlling the false discovery rate or familywise error rate when constructing marginal effects plots for models with interaction terms.

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AuthorJustin Esarey and Jane Lawrence Sumner
Date of publication2017-03-21 16:18:46 UTC
MaintainerJustin Esarey <justin@justinesarey.com>
LicenseGPL
Version1.0.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("interactionTest")

Man pages

bootFun: Bootstrapping t-statistics
fdrInteraction: Critical t-statistic
findMultiLims: Determine Critical t-Statistic For Marginal Effects Plot
legfig: Replication data for Clark and Golder (2006)

Functions

bootFun Man page Source code
fdrInteraction Man page Source code
findMultiLims Man page Source code
legfig Man page

Files

NAMESPACE
data
data/legfig.rda
R
R/legfig.R
R/findMultiLims.R
R/bootFun.R
R/fdrInteraction.R
MD5
DESCRIPTION
man
man/findMultiLims.Rd
man/fdrInteraction.Rd
man/bootFun.Rd
man/legfig.Rd
interactionTest documentation built on May 29, 2017, 12:35 p.m.