Package: multilevelcoda Type: Package Title: Estimate Bayesian Multilevel Models for Compositional Data Version: 1.3.3 Date: 2025-10-25 Authors@R: c(person(given = "Flora", family = "Le", role = c("aut", "cre"), email = "floralebui@gmail.com", comment = c(ORCID = "0000-0003-0089-8167")), person(given = "Joshua F.", family = "Wiley", role = c("aut"), email = "jwiley.psych@gmail.com", comment = c(ORCID = "0000-0002-0271-6702"))) URL: https://florale.github.io/multilevelcoda/, https://github.com/florale/multilevelcoda BugReports: https://github.com/florale/multilevelcoda/issues Description: Implement Bayesian multilevel modelling for compositional data. Compute multilevel compositional data and perform log-ratio transforms 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. References: Le, Stanford, Dumuid, and Wiley (2025) , Le, Dumuid, Stanford, and Wiley (2025) . License: GPL (>= 3) Encoding: UTF-8 LazyData: true Roxygen: list(markdown = TRUE) Depends: R (>= 4.0.0) Imports: stats, data.table (>= 1.12.0), compositions, brms, extraoperators (>= 0.4.0), ggplot2, foreach, future, doFuture, abind, graphics, shiny, shinystan, loo, bayesplot, emmeans, plotly, htmltools, bslib, DT, fs, robustbase Suggests: testthat (>= 3.0.0), covr, withr, knitr, rmarkdown, lme4, cmdstanr (>= 0.5.0) Config/testthat/edition: 3 Config/testthat/parallel: true Additional_repositories: https://mc-stan.org/r-packages/ VignetteBuilder: knitr Config/roxygen2/version: 8.0.0 Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libuv1-dev libxml2-dev libssl-dev zlib1g-dev Repository: https://florale.r-universe.dev Date/Publication: 2026-06-18 03:51:04 UTC RemoteUrl: https://github.com/florale/multilevelcoda RemoteRef: HEAD RemoteSha: 3ea3a7f75adbfa4de47e97d3d0bf9f1a10ce02aa NeedsCompilation: no Packaged: 2026-06-18 06:14:45 UTC; root Author: Flora Le [aut, cre] (ORCID: ), Joshua F. Wiley [aut] (ORCID: ) Maintainer: Flora Le