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) <doi:10.1177/0962280217710835> and Dumuid et al. (2017b) <doi:10.1177/0962280217737805>.
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
NeedsCompilation: no
Packaged: 2022-12-21 13:50:45 UTC; ty
Author: Ty Stanford [aut, cre] (<https://orcid.org/0000-0002-8570-5493>),
  Charlotte Lund Rasmussen [aut]
    (<https://orcid.org/0000-0003-2193-5019>),
  Dot Dumuid [aut] (<https://orcid.org/0000-0003-3057-0963>)
Maintainer: Ty Stanford <tystan@gmail.com>
Repository: CRAN
Date/Publication: 2022-12-22 19:50:06 UTC
Built: R 4.2.0; ; 2023-07-11 01:14:26 UTC; unix
