CRAN/E | InteractionPoweR

InteractionPoweR

Power Analyses for Interaction Effects in Cross-Sectional Regressions

Installation

About

Power analysis for regression models which test the interaction of two independent variables on a single dependent variable. Includes options for continuous, binary, or ordinal variables, as well as correlated interacting variables. Also includes options to specify variable reliability. 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(). Please cite as: Baranger DAA, Finsaas MC, Goldstein BL, Vize CE, Lynam DR, Olino TM (2022). "Tutorial: Power analyses for interaction effects in cross-sectional regressions." doi:10.31234/osf.io/5ptd7.

Citation InteractionPoweR citation info
dbaranger.github.io/InteractionPoweR/
doi.org/10.31234/osf.io/5ptd7
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Version 0.2.1
R ≥ 3.5.0
Published 2023-04-18 368 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks InteractionPoweR results

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Maintainer

Maintainer

David Baranger

dbaranger@gmail.com

Authors

David Baranger

aut / cre

(davidbaranger.com)

Brandon Goldstein

ctb

Megan Finsaas

ctb

Thomas Olino

ctb

Colin Vize

ctb

Don Lynam

ctb

Material

README
NEWS
Reference manual
Package source

macOS

r-devel

arm64

r-release

arm64

r-oldrel

arm64

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

InteractionPoweR archive

Depends

R ≥ 3.5.0

Imports

dplyr
MASS
parallel
doParallel
foreach
ggplot2
polynom
chngpt
rlang
tidyr
stats
ggbeeswarm
Matrix