Package: mmiCATs Title: Cluster Adjusted t Statistic Applications Version: 0.2.0.9000 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) 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 Roxygen: list(markdown = TRUE) 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 Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libpq-dev zlib1g-dev Repository: https://mightymetrika.r-universe.dev Date/Publication: 2024-09-03 15:39:53 UTC RemoteUrl: https://github.com/mightymetrika/mmicats RemoteRef: HEAD RemoteSha: 917d661bfcab40fc89eacf2918e9120f30a4210c NeedsCompilation: no Packaged: 2026-07-21 08:47:30 UTC; root Author: Mackson Ncube [aut, cre], mightymetrika, LLC [cph, fnd] Maintainer: Mackson Ncube