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-4.5-any)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'))

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

Pkgdown site:https://joshuawiley.com

On CRAN:

Conda:

5.74 score 4 stars 136 scripts 572 downloads 9 exports 187 dependencies

Last updated 12 months agofrom:02783977da. Checks:1 OK, 5 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 22 2025
R-4.5-winWARNINGFeb 22 2025
R-4.5-macWARNINGFeb 22 2025
R-4.5-linuxWARNINGFeb 22 2025
R-4.4-winWARNINGFeb 22 2025
R-4.4-macWARNINGFeb 22 2025

Exports:acfByIDevaluateLagsiccMixedmeanDecomposemeanDeviationsnEffectiveomegaSEMranefdataweighted.sma

Dependencies:abindbackportsbase64encbayesplotBHbitbit64bootbridgesamplingbriobrmsBrobdingnagbroombslibcachemcallrcarcarDatacheckmateclicliprclustercodacodetoolscolorspacecorrplotcowplotcpp11crayondata.tableDEoptimRDerivdescdiffobjdigestdistributionaldoBydplyremmeansestimabilityevaluateextraoperatorsfansifarverfastmapfontawesomeforcatsforeachforeignFormulafsfstfstcorefuturefuture.applygenericsggplot2ggpubrggrepelggridgesggsciggsignifglmnetglobalsglueGPArotationgridExtragtablehavenhighrHmischmshtmlTablehtmltoolshtmlwidgetsinlineisobanditeratorsjomojquerylibjsonliteJWileymiscknitrlabelinglatticelavaanlifecyclelistenvlme4lmerTestloomagrittrMASSMatrixMatrixModelsmatrixStatsmemoisemgcvmicemicrobenchmarkmimeminqamitmlmnormtmodelrmultcompmultcompViewmunsellmvtnormnleqslvnlmenloptrnnetnumDerivordinalpanparallellypbivnormpbkrtestpillarpkgbuildpkgconfigpkgloadplyrpolsplinepolynomposteriorpraiseprettyunitsprocessxprogresspspsychpurrrquadprogquantregQuickJSRR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRcppParallelRdpackreadrreformulasreshape2rlangrmarkdownrmsrobustbaserpartrprojrootrstanrstantoolsrstatixrstudioapisandwichsassscalesshapeSparseMStanHeadersstringistringrsurvivaltensorAtestthatTH.datatibbletidyrtidyselecttinytextzdbucminfutf8vctrsVGAMviridisviridisLitevroomwaldowithrxfunyamlzoo

Multilevel Models using lmer

Rendered fromlmer-vignette.Rmdusingknitr::rmarkdownon Feb 22 2025.

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