c(person(given = "Aaron",
family = "Caldwell",
role = c("aut", "cre"),
email = "arcaldwell49@gmail.com"),
person(given = "Daniel",family = "Lakens",
role = c("aut"),
email = "D.Lakens@tue.nl"),
person(given = "Lisa",
family = "DeBruine",
role = c("ctb"),
email = "debruine@gmail.com"),
person(given = "Jonathon",
family = "Love",
role = c("ctb"),
email = "jon@thon.cc"),
person(given = "Frederik",
family = "Aust",
email = "frederik.aust@uni-koeln.de",
role = c("ctb"),
comment = c(ORCID = "0000-0003-4900-788X")))
mvtnorm, MASS, afex, emmeans, ggplot2, gridExtra, reshape2,
stats, dplyr, magrittr, tidyselect, Hmisc
Aaron Caldwell [aut, cre],
Daniel Lakens [aut],
Lisa DeBruine [ctb],
Jonathon Love [ctb],
Frederik Aust [ctb] (<https://orcid.org/0000-0003-4900-788X>)

Functions to perform simulations of ANOVA designs of up to three factors. Calculates the observed power and average observed effect size for all main effects and interactions in the ANOVA, and all simple comparisons between conditions. Includes functions for analytic power calculations and additional helper functions that compute effect sizes for ANOVA designs, observed error rates in the simulations, and functions to plot power curves. Please see Lakens, D., & Caldwell, A. R. (2021). "Simulation-Based Power Analysis for Factorial Analysis of Variance Designs". <doi:10.1177/2515245920951503>.
mvtnorm, MASS, afex, emmeans, ggplot2, gridExtra, reshape2,
stats, dplyr, magrittr, tidyselect, Hmisc, tidyr

mvtnorm, MASS, afex, emmeans, ggplot2, gridExtra, reshape2,
stats, dplyr, magrittr, tidyselect, tidyr
knitr, rmarkdown, pwr, testthat, covr, jmvcore, spelling

Ten distributions supplementing those built into R. Inverse Gauss,
Kruskal-Wallis, Kendall's Tau, Friedman's chi squared, Spearman's rho, maximum F ratio,
the Pearson product moment correlation coefficiant, Johnson distributions, nommal scores
and generalized hypergeometric distributions. In addition two random number generators
of George Marsaglia are included.

Ten distributions supplementing those built into R. Inverse Gauss,
Kruskal-Wallis, Kendall's Tau, Friedman's chi squared, Spearman's rho, maximum F ratio,
the Pearson product moment correlation coefficiant, Johnson distributions, normal scores
and generalized hypergeometric distributions. In addition two random number generators
of George Marsaglia are included.