Package: varian 0.3.0

varian: Variability Analysis in R

Uses a Bayesian model to estimate the variability in a repeated measure outcome and use that as an outcome or a predictor in a second stage model.

Authors:Joshua F. Wiley [aut, cre]

varian_0.3.0.tar.gz


varian_0.3.0.tar.gz(r-4.4-noble)
varian_0.3.0.tgz(r-4.4-emscripten)
varian.pdf |varian.html
varian/json (API)

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

Peer review:

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

On CRAN:

4.53 score 7 stars 2 packages 16 scripts 279 downloads 1 mentions 10 exports 161 dependencies

Last updated 2 years agofrom:81df622830. Checks:OK: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024

Exports:res_gammarmssdrmssd_idrolling_diffrolling_diff_idsd_idsimulate_gvmvarianvm_diagnosticsvmp_plot

Dependencies:abindbackportsbase64encBHbitbit64bootbroombslibcachemcallrcarcarDatacheckmateclicliprclustercodetoolscolorspacecorrplotcowplotcpp11crayondata.tableDEoptimRDerivdescdigestdistributionaldoBydplyremmeansestimabilityevaluateextraoperatorsfansifarverfastmapfontawesomeforcatsforeachforeignFormulafsfstfstcoregenericsggplot2ggpubrggrepelggsciggsignifglmnetglueGPArotationgridExtragtablehavenhighrHmischmshtmlTablehtmltoolshtmlwidgetsinlineisobanditeratorsjomojquerylibjsonliteJWileymiscknitrlabelinglatticelavaanlifecyclelme4loomagrittrMASSMatrixMatrixModelsmatrixStatsmemoisemgcvmicemicrobenchmarkmimeminqamitmlmnormtmodelrmultcompmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivordinalpanpbivnormpbkrtestpillarpkgbuildpkgconfigpolsplinepolynomposteriorprettyunitsprocessxprogresspspsychpurrrquadprogquantregQuickJSRR6rappdirsRColorBrewerRcppRcppEigenRcppParallelreadrrlangrmarkdownrmsrobustbaserpartrstanrstatixrstudioapisandwichsassscalesshapeSparseMStanHeadersstringistringrsurvivaltensorATH.datatibbletidyrtidyselecttinytextzdbucminfutf8vctrsVGAMviridisviridisLitevroomwithrxfunyamlzoo