Author: Zehang LI, Tyler McCormick, Sam Clark
Description: The package provides an R version of the InterVA4 software for coding cause of death from verbal autopsies. It also provides simple graphical representation of individual and population level statistics.

Description: The package provides an R version of the InterVA4 software for
coding cause of death from verbal autopsies. It also provides simple
graphical representation of individual and population level statistics.

Description: Provides an R version of the InterVA4 software for

Description: Provides an R version of the 'InterVA4' software (<http://www.interva.net>) for coding cause of death from verbal autopsies. It also provides simple graphical representation of individual and population level statistics.

Author: Zehang Li, Tyler McCormick, Sam Clark, Peter Byass

Author: Zehang Richard Li, Tyler McCormick, Sam Clark, Peter Byass

Author: Jason Thomas, Zehang Li, Tyler McCormick, Sam Clark, Peter Byass
Description: Provides an R version of the 'InterVA5' software (<http://www.interva.net>) for coding cause of death from verbal autopsies. It also provides simple graphical representation of individual and population level statistics.

person("Matthew", "Boyas", role = "aut"),

Description: Provides an R version of the 'InterVA5' software (<http://www.byass.uk/interva/>) for coding cause of death from verbal autopsies. It also provides simple graphical representation of individual and population level statistics.

Title: Tests for marginal interactions in a 2 class response model
Author: Noah Simon and Robert Tibshirani
Description: This package searches for marginal interactions in a
binary response model. Interact uses permutation methods to
estimate false discovery rates for these marginal interactions
and has some, limited visualization capabilities

Title: Power Analyses for Interaction Effects in Cross-Sectional
comment = c(ORCID = "0000-0002-6659-357X",website="davidbaranger.com")),
Description: Power analysis for regression models which test the interaction of
two independent variables on a single dependent variable. Includes options
for continuous, binary, and/or skewed 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
Imports: dplyr, MASS, parallel, doParallel, foreach, ggplot2, polynom,
Author: David Baranger [aut, cre] (<https://orcid.org/0000-0002-6659-357X>,