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:
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 = 'https://cloud.r-project.org') |
- 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.
Last updated 6 years agofrom:85dbdf104d. Checks:3 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 19 2025 |
R-4.5-linux | OK | Mar 19 2025 |
R-4.4-linux | OK | Mar 19 2025 |
Exports:bootFunfdrInteractionfindMultiLims
Dependencies:
Citation
To cite package ‘interactionTest’ in publications use:
Esarey J, Sumner JL (2019). interactionTest: Calculates Critical Test Statistics to Control False Discovery Rates in Marginal Effects Plots. R package version 1.2, https://CRAN.R-project.org/package=interactionTest.
ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.
Corresponding BibTeX entry:
@Manual{, title = {interactionTest: Calculates Critical Test Statistics to Control False Discovery Rates in Marginal Effects Plots}, author = {Justin Esarey and Jane Lawrence Sumner}, year = {2019}, note = {R package version 1.2}, url = {https://CRAN.R-project.org/package=interactionTest}, }
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Bootstrapping t-statistics | bootFun |
Critical t-statistic | fdrInteraction |
Determine Critical t-Statistic For Marginal Effects Plot | findMultiLims |
Replication data for Clark and Golder (2006) | legfig |