Package: mmiCATs
Title: Cluster Adjusted t Statistic Applications
Version: 0.2.0
Authors@R: c(
    person("Mackson", "Ncube", , "macksonncube.stats@gmail.com", role = c("aut", "cre")),
    person("mightymetrika, LLC", role = c("cph", "fnd"))
  )
Description: Simulation results detailed in Esarey and Menger (2019) <doi:10.1017/psrm.2017.42>
    demonstrate that cluster adjusted t statistics (CATs) are an effective method
    for correcting standard errors in scenarios with a small number of clusters.
    The 'mmiCATs' package offers a suite of tools for working with CATs. The
    mmiCATs() function initiates a 'shiny' web application, facilitating
    the analysis of data utilizing CATs, as implemented in the cluster.im.glm()
    function from the 'clusterSEs' package. Additionally, the pwr_func_lmer()
    function is designed to simplify the process of conducting simulations to
    compare mixed effects models with CATs models. For educational purposes, the
    CloseCATs() function launches a 'shiny' application card game, aimed at enhancing
    users' understanding of the conditions under which CATs should be preferred
    over random intercept models.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
URL: https://github.com/mightymetrika/mmiCATs
BugReports: https://github.com/mightymetrika/mmiCATs/issues
Imports: broom, broom.mixed, clusterSEs, DT, lmerTest, MASS, mmcards,
        pool, robust, robustbase, RPostgres, shiny, shinythemes
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2024-08-26 00:38:48 UTC; Administrator
Author: Mackson Ncube [aut, cre],
  mightymetrika, LLC [cph, fnd]
Maintainer: Mackson Ncube <macksonncube.stats@gmail.com>
Repository: CRAN
Date/Publication: 2024-08-26 04:20:01 UTC
Built: R 4.6.0; ; 2026-04-10 04:19:47 UTC; windows
