# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "codaredistlm" in publications use:' type: software license: GPL-2.0-only title: 'codaredistlm: Compositional Data Linear Models with Composition Redistribution' version: 0.1.0 doi: 10.32614/CRAN.package.codaredistlm abstract: 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) . authors: - family-names: Stanford given-names: Ty email: tystan@gmail.com orcid: https://orcid.org/0000-0002-8570-5493 - family-names: Lund Rasmussen given-names: Charlotte email: chinehade@gmail.com orcid: https://orcid.org/0000-0003-2193-5019 - family-names: Dumuid given-names: Dot email: dot.dumuid@unisa.edu.au orcid: https://orcid.org/0000-0003-3057-0963 repository: https://tystan.r-universe.dev repository-code: https://github.com/tystan/codaredistlm commit: 58879e1e129456e0ee93d169f71313436aecc19d url: https://github.com/tystan/codaredistlm date-released: '2022-12-22' contact: - family-names: Stanford given-names: Ty email: tystan@gmail.com orcid: https://orcid.org/0000-0002-8570-5493