Package: multilevelTools 0.2.0

multilevelTools: Multilevel and Mixed Effects Model Diagnostics and Effect Sizes

Effect sizes, diagnostics and performance metrics for multilevel and mixed effects models. Includes marginal and conditional 'R2' estimates for linear mixed effects models based on Johnson (2014) <doi:10.1111/2041-210X.12225>.

Authors:Joshua F. Wiley [aut, cre]

multilevelTools_0.2.0.tar.gz
multilevelTools_0.2.0.zip(r-4.5)multilevelTools_0.2.0.zip(r-4.4)
multilevelTools_0.2.0.tgz(r-4.4-any)
multilevelTools_0.2.0.tar.gz(r-4.5-noble)multilevelTools_0.2.0.tar.gz(r-4.4-noble)
multilevelTools_0.2.0.tgz(r-4.4-emscripten)
multilevelTools.pdf |multilevelTools.html
multilevelTools/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/jwiley/multileveltools/issues

On CRAN:

5.68 score 4 stars 121 scripts 684 downloads 9 exports 185 dependencies

Last updated 8 months agofrom:02783977da. Checks:OK: 1 WARNING: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 25 2024
R-4.5-winWARNINGOct 25 2024
R-4.5-linuxWARNINGOct 25 2024
R-4.4-winWARNINGOct 25 2024
R-4.4-macWARNINGOct 25 2024

Exports:acfByIDevaluateLagsiccMixedmeanDecomposemeanDeviationsnEffectiveomegaSEMranefdataweighted.sma

Dependencies:abindbackportsbase64encbayesplotBHbitbit64bootbridgesamplingbriobrmsBrobdingnagbroombslibcachemcallrcarcarDatacheckmateclicliprclustercodacodetoolscolorspacecorrplotcowplotcpp11crayondata.tableDEoptimRDerivdescdiffobjdigestdistributionaldoBydplyremmeansestimabilityevaluateextraoperatorsfansifarverfastmapfontawesomeforcatsforeachforeignFormulafsfstfstcorefuturefuture.applygenericsggplot2ggpubrggrepelggridgesggsciggsignifglmnetglobalsglueGPArotationgridExtragtablehavenhighrHmischmshtmlTablehtmltoolshtmlwidgetsinlineisobanditeratorsjomojquerylibjsonliteJWileymiscknitrlabelinglatticelavaanlifecyclelistenvlme4lmerTestloomagrittrMASSMatrixMatrixModelsmatrixStatsmemoisemgcvmicemicrobenchmarkmimeminqamitmlmnormtmodelrmultcompmultcompViewmunsellmvtnormnleqslvnlmenloptrnnetnumDerivordinalpanparallellypbivnormpbkrtestpillarpkgbuildpkgconfigpkgloadplyrpolsplinepolynomposteriorpraiseprettyunitsprocessxprogresspspsychpurrrquadprogquantregQuickJSRR6rappdirsRColorBrewerRcppRcppEigenRcppParallelreadrrematch2reshape2rlangrmarkdownrmsrobustbaserpartrprojrootrstanrstantoolsrstatixrstudioapisandwichsassscalesshapeSparseMStanHeadersstringistringrsurvivaltensorAtestthatTH.datatibbletidyrtidyselecttinytextzdbucminfutf8vctrsVGAMviridisviridisLitevroomwaldowithrxfunyamlzoo

Multilevel Models using lmer

Rendered fromlmer-vignette.Rmdusingknitr::rmarkdownon Oct 25 2024.

Last update: 2023-02-10
Started: 2019-12-16