InteractionPoweR
Power Analyses for Interaction Effects in Cross-Sectional Regressions
Power analysis for regression models which test the interaction of two or three independent variables on a single dependent variable. Includes options for correlated interacting variables and specifying variable reliability. Two-way interactions can include continuous, binary, or ordinal variables. Power analyses can be done either analytically or via simulation. Includes tools for simulating single data sets and visualizing power analysis results. The primary functions are power_interaction_r2() and power_interaction() for two-way interactions, and power_interaction_3way_r2() for three-way interactions. Please cite as: Baranger DAA, Finsaas MC, Goldstein BL, Vize CE, Lynam DR, Olino TM (2023). "Tutorial: Power analyses for interaction effects in cross-sectional regressions." doi:10.1177/25152459231187531.
- Version0.2.2
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- InteractionPoweR citation info
- Last release07/09/2024
Documentation
Team
David Baranger
Brandon Goldstein
Show author detailsRolesContributorMegan Finsaas
Show author detailsRolesContributorThomas Olino
Show author detailsRolesContributorColin Vize
Show author detailsRolesContributorDon Lynam
Show author detailsRolesContributor
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- Imports10 packages