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

Pkgdown site:https://joshuawiley.com

On CRAN:

5.71 score 4 stars 128 scripts 446 downloads 9 exports 187 dependencies

Last updated 11 months agofrom:02783977da. Checks:1 OK, 4 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 23 2025
R-4.5-winWARNINGJan 23 2025
R-4.5-linuxWARNINGJan 23 2025
R-4.4-winWARNINGJan 23 2025
R-4.4-macWARNINGJan 23 2025

Exports:acfByIDevaluateLagsiccMixedmeanDecomposemeanDeviationsnEffectiveomegaSEMranefdataweighted.sma

Dependencies:abindbackportsbase64encbayesplotBHbitbit64bootbridgesamplingbriobrmsBrobdingnagbroombslibcachemcallrcarcarDatacheckmateclicliprclustercodacodetoolscolorspacecorrplotcowplotcpp11crayondata.tableDEoptimRDerivdescdiffobjdigestdistributionaldoBydplyremmeansestimabilityevaluateextraoperatorsfansifarverfastmapfontawesomeforcatsforeachforeignFormulafsfstfstcorefuturefuture.applygenericsggplot2ggpubrggrepelggridgesggsciggsignifglmnetglobalsglueGPArotationgridExtragtablehavenhighrHmischmshtmlTablehtmltoolshtmlwidgetsinlineisobanditeratorsjomojquerylibjsonliteJWileymiscknitrlabelinglatticelavaanlifecyclelistenvlme4lmerTestloomagrittrMASSMatrixMatrixModelsmatrixStatsmemoisemgcvmicemicrobenchmarkmimeminqamitmlmnormtmodelrmultcompmultcompViewmunsellmvtnormnleqslvnlmenloptrnnetnumDerivordinalpanparallellypbivnormpbkrtestpillarpkgbuildpkgconfigpkgloadplyrpolsplinepolynomposteriorpraiseprettyunitsprocessxprogresspspsychpurrrquadprogquantregQuickJSRR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRcppParallelRdpackreadrreformulasreshape2rlangrmarkdownrmsrobustbaserpartrprojrootrstanrstantoolsrstatixrstudioapisandwichsassscalesshapeSparseMStanHeadersstringistringrsurvivaltensorAtestthatTH.datatibbletidyrtidyselecttinytextzdbucminfutf8vctrsVGAMviridisviridisLitevroomwaldowithrxfunyamlzoo

Multilevel Models using lmer

Rendered fromlmer-vignette.Rmdusingknitr::rmarkdownon Jan 23 2025.

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