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

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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.

Author
Justin Esarey and Jane Lawrence Sumner
Date of publication
2015-09-01 18:15:07
Maintainer
Jane Lawrence Sumner <jane.lawrence@emory.edu>
License
GPL
Version
1.0

View on CRAN

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)

Files in this package

interactionTest
interactionTest/NAMESPACE
interactionTest/data
interactionTest/data/legfig.rda
interactionTest/R
interactionTest/R/legfig.R
interactionTest/R/findMultiLims.R
interactionTest/R/bootFun.R
interactionTest/R/fdrInteraction.R
interactionTest/MD5
interactionTest/DESCRIPTION
interactionTest/man
interactionTest/man/findMultiLims.Rd
interactionTest/man/fdrInteraction.Rd
interactionTest/man/bootFun.Rd
interactionTest/man/legfig.Rd