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'))

Peer review:

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

On CRAN:

3 exports 3 stars 1.18 score 8 dependencies 1 mentions 5 scripts 220 downloads

Last updated 4 years agofrom:8b48c713c4. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 31 2024
R-4.5-winOKAug 31 2024
R-4.5-linuxOKAug 31 2024
R-4.4-winOKAug 31 2024
R-4.4-macOKAug 31 2024
R-4.3-winOKAug 31 2024
R-4.3-macOKAug 31 2024

Exports:codalmcodalm_cicodalm_indep_test

Dependencies:codetoolsdigestfuturefuture.applyglobalslistenvparallellySQUAREM

How to use codalm

Rendered fromcodalm_quickstart.Rmdusingknitr::rmarkdownon Aug 31 2024.

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