Package: mpower
Type: Package
Title: Power Analysis via Monte Carlo Simulation for Correlated Data
Version: 0.1.0
Authors@R: 
    person(given = "Phuc H.",
           family = "Nguyen",
           role = c("aut", "cre"),
           email = "phuc.nguyen.rcran@gmail.com",
           comment = c(ORCID = "0000-0002-6206-0194"))
Description: A flexible framework for power analysis using Monte
    Carlo simulation for settings in which considerations of the correlations
    between predictors are important. Users can set up a data generative model
    that preserves dependence structures among predictors given existing data
    (continuous, binary, or ordinal). Users can also generate power curves to
    assess the trade-offs between sample size, effect size, and power of a design.
    This package includes several statistical models common in environmental
    mixtures studies. For more details and tutorials, see Nguyen et al. (2022) <arXiv:2209.08036>.
License: LGPL
Encoding: UTF-8
LazyData: true
Imports: abind, boot, dplyr, doSNOW, foreach, ggplot2, MASS, magrittr,
        parallel, purrr, snow, sbgcop, rlang, reshape2, tibble, tidyr,
        tidyselect
RoxygenNote: 7.2.1
Depends: R (>= 3.5.0)
Suggests: BMA, bkmr, bws, infinitefactor, knitr, NHANES, qgcomp,
        rmarkdown, rstan, testthat, openxlsx
NeedsCompilation: no
Packaged: 2022-09-20 18:32:25 UTC; phuc
Author: Phuc H. Nguyen [aut, cre] (<https://orcid.org/0000-0002-6206-0194>)
Maintainer: Phuc H. Nguyen <phuc.nguyen.rcran@gmail.com>
Repository: CRAN
Date/Publication: 2022-09-21 08:50:05 UTC
Built: R 4.6.0; ; 2026-04-03 03:20:40 UTC; windows
