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: 2026-06-23 09:20:13 UTC; root
Author: Phuc H. Nguyen [aut, cre]
        (<https://orcid.org/0000-0002-6206-0194>)
Maintainer: Phuc H. Nguyen <phuc.nguyen.rcran@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2022-09-21 07:50:05 UTC
RemoteUrl: https://github.com/cran/mpower
RemoteRef: HEAD
RemoteSha: 3eba894dc18b5ce2779a11beee96d3c5f77be1c0