Package: codaredistlm Type: Package Title: Compositional Data Linear Models with Composition Redistribution Version: 0.1.0 Date: 2022-12-22 Authors@R: c( person("Ty", "Stanford", email = "tystan@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-8570-5493")), person("Charlotte", "Lund Rasmussen", email = "chinehade@gmail.com", role = "aut", comment = c(ORCID = "0000-0003-2193-5019")), person("Dot", "Dumuid", email = "dot.dumuid@unisa.edu.au", role = "aut", comment = c(ORCID = "0000-0003-3057-0963"))) Description: Provided data containing an outcome variable, compositional variables and additional covariates (optional); linearly regress the outcome variable on an isometric log ratio (ilr) transformation of the linearly dependent compositional variables. The package provides predictions (with confidence intervals) in the change (delta) in the outcome/response variable based on the multiple linear regression model and evenly spaced reallocations of the compositional values. The compositional data analysis approach implemented is outlined in Dumuid et al. (2017a) and Dumuid et al. (2017b) . License: GPL-2 URL: https://github.com/tystan/codaredistlm BugReports: https://github.com/tystan/codaredistlm/issues Encoding: UTF-8 LazyData: true Imports: compositions, ggplot2, broom, knitr Suggests: testthat RoxygenNote: 7.1.2 Config/pak/sysreqs: libicu-dev Repository: https://tystan.r-universe.dev Date/Publication: 2023-01-25 06:26:11 UTC RemoteUrl: https://github.com/tystan/codaredistlm RemoteRef: HEAD RemoteSha: 58879e1e129456e0ee93d169f71313436aecc19d NeedsCompilation: no Packaged: 2026-07-14 06:29:16 UTC; root Author: Ty Stanford [aut, cre] (ORCID: ), Charlotte Lund Rasmussen [aut] (ORCID: ), Dot Dumuid [aut] (ORCID: ) Maintainer: Ty Stanford