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:
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_0.3.0.tgz(r-4.3-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')) |
Bug tracker:https://github.com/jwiley/varian/issues
Last updated 2 years agofrom:81df622830. Checks:OK: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 06 2024 |
Exports:res_gammarmssdrmssd_idrolling_diffrolling_diff_idsd_idsimulate_gvmvarianvm_diagnosticsvmp_plot
Dependencies:abindbackportsbase64encBHbitbit64bootbroombslibcachemcallrcarcarDatacheckmateclicliprclustercodetoolscolorspacecorrplotcowplotcpp11crayondata.tableDEoptimRDerivdescdigestdistributionaldoBydplyremmeansestimabilityevaluateextraoperatorsfansifarverfastmapfontawesomeforcatsforeachforeignFormulafsfstfstcoregenericsggplot2ggpubrggrepelggsciggsignifglmnetglueGPArotationgridExtragtablehavenhighrHmischmshtmlTablehtmltoolshtmlwidgetsinlineisobanditeratorsjomojquerylibjsonliteJWileymiscknitrlabelinglatticelavaanlifecyclelme4loomagrittrMASSMatrixMatrixModelsmatrixStatsmemoisemgcvmicemicrobenchmarkmimeminqamitmlmnormtmodelrmultcompmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivordinalpanpbivnormpbkrtestpillarpkgbuildpkgconfigpolsplinepolynomposteriorprettyunitsprocessxprogresspspsychpurrrquadprogquantregQuickJSRR6rappdirsRColorBrewerRcppRcppEigenRcppParallelreadrrlangrmarkdownrmsrobustbaserpartrstanrstatixrstudioapisandwichsassscalesshapeSparseMStanHeadersstringistringrsurvivaltensorATH.datatibbletidyrtidyselecttinytextzdbucminfutf8vctrsVGAMviridisviridisLitevroomwithrxfunyamlzoo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Estimate the parameters for a Gamma distribution | gamma_params |
Estimates the parameters of a Gamma distribution from SDs | res_gamma |
Simulate a Gamma Variability Model | simulate_gvm |
Calculate Initial Values for Stan VM Model | stan_inits |
Summary method for variability model objects | summary.vm |
Variability Measures | by_id rmssd rmssd_id rmssid_id rolling_diff rolling_diff_id sd_id Variability_Measures |
Variablity Analysis using a Bayesian Variability Model (VM) | varian |
Plot diagnostics from a VM model | vm_diagnostics |
Create a Stan class VM object | vm_stan |
Plot the posterior distributions of the focal parameters from a VM model | vmp_plot |