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.
| Version: | 1.3.0.2 |
| Depends: | R (≥ 4.0.0) |
| Imports: | stats, data.table (≥ 1.12.0), compositions, brms, bayestestR, extraoperators, ggplot2, foreach, future, doFuture, abind, graphics, shiny, shinystan, plotly, hrbrthemes, bslib, DT, loo, bayesplot, emmeans, insight |
| Suggests: | testthat (≥ 3.0.0), covr, withr, knitr, rmarkdown, lme4, cmdstanr (≥ 0.5.0) |
| Published: | 2024-07-09 |
| DOI: | 10.32614/CRAN.package.multilevelcoda |
| Author: | Flora Le  [aut,
cre],
Joshua F. Wiley
[aut] |
| Maintainer: | Flora Le <13florale at gmail.com> |
| BugReports: | https://github.com/florale/multilevelcoda/issues |
| License: | GPL (≥ 3) |
| URL: | https://florale.github.io/multilevelcoda/, https://github.com/florale/multilevelcoda |
| NeedsCompilation: | no |
| Additional_repositories: | https://mc-stan.org/r-packages/ |
| Materials: | README NEWS |
| CRAN checks: | multilevelcoda results |
Documentation:
Downloads:
| Package source: | multilevelcoda_1.3.0.2.tar.gz |
| Windows binaries: | r-devel: multilevelcoda_1.3.0.2.zip, r-release: multilevelcoda_1.3.0.2.zip, r-oldrel: multilevelcoda_1.3.0.2.zip |
| macOS binaries: | r-release (arm64): multilevelcoda_1.3.0.2.tgz, r-oldrel (arm64): multilevelcoda_1.3.0.2.tgz, r-release (x86_64): multilevelcoda_1.3.0.2.tgz, r-oldrel (x86_64): multilevelcoda_1.3.0.2.tgz |
| Old sources: | multilevelcoda archive |
Linking:
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