Package: interactionTest 1.2

Justin Esarey

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

Implements the procedures suggested in Esarey and Sumner (2017) <http://justinesarey.com/interaction-overconfidence.pdf> for controlling the false discovery rate when constructing marginal effects plots for models with interaction terms.

Authors:Justin Esarey and Jane Lawrence Sumner

interactionTest_1.2.tar.gz
interactionTest_1.2.tar.gz(r-4.5-noble)interactionTest_1.2.tar.gz(r-4.4-noble)
interactionTest_1.2.tgz(r-4.4-emscripten)interactionTest_1.2.tgz(r-4.3-emscripten)
interactionTest.pdf |interactionTest.html
interactionTest/json (API)

# Install 'interactionTest' in R:
install.packages('interactionTest', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • legfig - Replication data for Clark and Golder

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.95 score 3 packages 2 scripts 963 downloads 3 exports 0 dependencies

Last updated 5 years agofrom:85dbdf104d. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-linuxOKOct 31 2024

Exports:bootFunfdrInteractionfindMultiLims

Dependencies: