Package: codalm 0.1.0

codalm: Transformation-Free Linear Regression for Compositional Outcomes and Predictors

Implements the expectation-maximization (EM) algorithm as described in Fiksel et al. (2020) <arxiv:2004.07881> for transformation-free linear regression for compositional outcomes and predictors.

Authors:Jacob Fiksel [aut, cre], Abhirup Datta [ctb]

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codalm.pdf |codalm.html✨
codalm/json (API)
NEWS

# Install 'codalm' in R:
install.packages('codalm', repos = c('https://jfiksel.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jfiksel/codalm/issues

On CRAN:

Conda:

4.18 score 3 stars 5 scripts 252 downloads 1 mentions 3 exports 8 dependencies

Last updated 5 years agofrom:8b48c713c4. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 07 2025
R-4.5-winOKMar 07 2025
R-4.5-macOKMar 07 2025
R-4.5-linuxOKMar 07 2025
R-4.4-winOKMar 07 2025
R-4.4-macOKMar 07 2025
R-4.4-linuxOKMar 07 2025
R-4.3-winOKMar 07 2025
R-4.3-macOKMar 07 2025

Exports:codalmcodalm_cicodalm_indep_test

Dependencies:codetoolsdigestfuturefuture.applyglobalslistenvparallellySQUAREM

How to use codalm

Rendered fromcodalm_quickstart.Rmdusingknitr::rmarkdownon Mar 07 2025.

Last update: 2020-06-19
Started: 2020-06-01