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codalm  

Transformation-Free Linear Regression for Compositional Outcomes and Predictors
View on CRAN: Click here


Download and install codalm package within the R console
Install from CRAN:
install.packages("codalm")

Install from Github:
library("remotes")
install_github("cran/codalm")

Install by package version:
library("remotes")
install_version("codalm", "0.1.2")



Attach the package and use:
library("codalm")
Maintained by
Jacob Fiksel
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-25
Latest Update: 2021-07-26
Description:
Implements the expectation-maximization (EM) algorithm as described in Fiksel et al. (2021) for transformation-free linear regression for compositional outcomes and predictors.
How to cite:
Jacob Fiksel (2020). codalm: Transformation-Free Linear Regression for Compositional Outcomes and Predictors. R package version 0.1.2, https://cran.r-project.org/web/packages/codalm. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2020-06-25 18:00), 0.1.1 (2021-06-21 21:20)
Other packages that cited codalm R package
View codalm citation profile
Other R packages that codalm depends, imports, suggests or enhances
Complete documentation for codalm
Functions, R codes and Examples using the codalm R package
Some associated functions: codalm . codalm_ci . codalm_indep_test . educFM . predict_codalm . 
Some associated R codes: codalm_em.R . data.R . independence_test.R .  Full codalm package functions and examples
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