Package: multilevelcoda 1.3.0.1
multilevelcoda:Estimate Bayesian Multilevel Models for Compositional Data
Implement Bayesian Multilevel Modelling for compositional data in a multilevel framework. Compute multilevel compositional data and Isometric log ratio (ILR) at between and within-person levels, fit Bayesian multilevel models for compositional predictors and outcomes, and run post-hoc analyses such as isotemporal substitution models.
Authors:
multilevelcoda_1.3.0.1.tar.gz
multilevelcoda_1.3.0.1.tar.gz(r-4.5-noble)multilevelcoda_1.3.0.1.tar.gz(r-4.4-noble)
multilevelcoda_1.3.0.1.tgz(r-4.4-emscripten)multilevelcoda_1.3.0.1.tgz(r-4.3-emscripten)
multilevelcoda.pdf |multilevelcoda.html✨
multilevelcoda/json (API)
NEWS
# Installmultilevelcoda in R: |
install.packages('multilevelcoda',repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/florale/multilevelcoda/issues
Last updated 5 days agofrom:451023167e
Exports:basesubbrmcodabsubbsubmarginsbuild.rgcompilrcomplrfixefis.brmcodais.complris.substitutionmultilevelcoda_simranefsubsubmarginssubstitutionvar.complrVarCorrwsubwsubmargins
Dependencies:abindaskpassbackportsbase64encbayesmbayesplotbayestestRBHbridgesamplingbrmsBrobdingnagbslibcachemcallrcheckmateclicodacodetoolscolorspacecolourpickercommonmarkcompositionscpp11crayoncrosstalkcrulcurldata.tabledatawizardDEoptimRdescdigestdistributionaldoFuturedplyrDTdygraphsevaluateextrafontextrafontdbextraoperatorsfansifarverfastmapfontawesomefontBitstreamVerafontLiberationfontquiverforeachfsfuturefuture.applygdtoolsgenericsgfontsggplot2ggridgesglobalsgluegridExtragtablegtoolshighrhrbrthemeshtmltoolshtmlwidgetshttpcodehttpuvhttrigraphinlineinsightisobanditeratorsjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelistenvloomagrittrmarkdownMASSMatrixmatrixStatsmemoisemgcvmimeminiUImunsellmvtnormnleqslvnlmenumDerivopensslparallellypillarpkgbuildpkgconfigplotlyplyrposteriorprocessxpromisespspurrrQuickJSRR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelreshape2rlangrmarkdownrobustbaserstanrstantoolsRttf2pt1sassscalesshinyshinyjsshinystanshinythemessourcetoolsStanHeadersstringistringrsyssystemfontstensorAthreejstibbletidyrtidyselecttinytextriebeardurltoolsutf8vctrsviridisLitewithrxfunxtablextsyamlzoo
Compositional Substitution Multilevel Analysis
Rendered fromD-substitution.Rmd
usingknitr::rmarkdown
on Jul 01 2024.Last update: 2024-06-12
Started: 2024-06-12
Improving MCMC Sampling for Bayesian Compositional Multilevel Models
Rendered fromE-simmodel-diag.Rmd
usingknitr::rmarkdown
on Jul 01 2024.Last update: 2024-03-11
Started: 2023-08-12
Introduction to Bayesian Compositional Multilevel Modelling
Rendered fromA-introduction.Rmd
usingknitr::rmarkdown
on Jul 01 2024.Last update: 2024-06-12
Started: 2023-08-12
Multilevel Model with Compositional Outcomes
Rendered fromC-composition-MMLM.Rmd
usingknitr::rmarkdown
on Jul 01 2024.Last update: 2024-06-12
Started: 2023-08-12
Multilevel Models with Compositional Predictors
Rendered fromB-composition-MLM.Rmd
usingknitr::rmarkdown
on Jul 01 2024.Last update: 2024-06-12
Started: 2023-08-12