Package: mmiCATs 0.2.0.9000

mmiCATs: Cluster Adjusted t Statistic Applications

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.

Authors:Mackson Ncube [aut, cre], mightymetrika, LLC [cph, fnd]

mmiCATs_0.2.0.9000.tar.gz
mmiCATs_0.2.0.9000.zip(r-4.7-any)mmiCATs_0.2.0.9000.zip(r-4.6-any)mmiCATs_0.2.0.9000.zip(r-4.5-any)
mmiCATs_0.2.0.9000.tgz(r-4.6-any)mmiCATs_0.2.0.9000.tgz(r-4.5-any)
mmiCATs_0.2.0.9000.tar.gz(r-4.7-any)mmiCATs_0.2.0.9000.tar.gz(r-4.6-any)
mmiCATs_0.2.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
mmiCATs/json (API)

# Install 'mmiCATs' in R:
install.packages('mmiCATs', repos = c('https://mightymetrika.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mightymetrika/mmicats/issues

On CRAN:

Conda:

3.48 score 5 scripts 198 downloads 17 exports 122 dependencies

Last updated from:964589ac7d. Checks:7 OK, 2 ERROR. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK246
source / vignettesOK206
linux-releaseOK231
macos-releaseERROR152
macos-oldrelERROR172
windows-develOK132
windows-releaseOK167
windows-oldrelOK165
wasm-releaseOK165

Exports:CloseCATscluster_data_explorecluster_im_glmRobcluster_im_lmRobcluster_model_diagnosticsKenRCATskenward_rogermmiCATsprepare_study12_freezeprepare_study3_empiricalpwr_func_lmerpwr_func_study1pwr_func_study2record_study12_registrationrun_study1_definitiverun_study2_definitiverun_study3_empirical

Dependencies:backportsbase64encbdsmatrixbitbit64blobbootbroombroom.mixedbslibcachemcliclubSandwichclusterSEscodacodetoolscollapsecommonmarkCompQuadFormcpp11crosstalkDBIDEoptimRdfidxdigestdplyrDTevaluatefarverfastmapfit.modelsfontawesomeforcatsFormulafsfurrrfuturegenericsggplot2globalsgluegtablehighrhmshtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelistenvlme4lmerTestlmtestlubridatemagrittrMASSMatrixmaxLikmemoisemicsrmimeminqamiscToolsmlogitmmcardsmvtnormnlmenloptrnumDerivotelparallellypcaPPpillarpkgconfigplmpoolpromisespurrrR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangrmarkdownrobustrobustbaseRPostgresrrcovS7sandwichsassscalesshinyshinythemessourcetoolsstringistringrsurvivaltibbletidyrtidyselecttimechangetinytexutf8vctrsviridisLitewithrxfunxtableyamlzoo