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miniLNM  

Miniature Logistic-Normal Multinomial Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("miniLNM", "0.1.0")



Attach the package and use:
library("miniLNM")
Maintained by
Kris Sankaran
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-09-13
Latest Update: 2024-09-13
Description:
Logistic-normal Multinomial (LNM) models are common in problems with multivariate count data. This package gives a simple implementation with a 30 line 'Stan' script. This lightweight implementation makes it an easy starting point for other projects, in particular for downstream tasks that require analysis of "compositional" data. It can be applied whenever a multinomial probability parameter is thought to depend linearly on inputs in a transformed, log ratio space. Additional utilities make it easy to inspect, create predictions, and draw samples using the fitted models. More about the LNM can be found in Xia et al. (2013) "A Logistic Normal Multinomial Regression Model for Microbiome Compositional Data Analysis" <doi:10.1111/biom.12079> and Sankaran and Holmes (2023) "Generative Models: An Interdisciplinary Perspective" <doi:10.1146/annurev-statistics-033121-110134>.
How to cite:
Kris Sankaran (2024). miniLNM: Miniature Logistic-Normal Multinomial Models. R package version 0.1.0, https://cran.r-project.org/web/packages/miniLNM. Accessed 12 Sep. 2026.
Previous versions and publish date:
(2026-07-21 04:40), 0.1.0 (2024-09-13 20:30)
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Complete documentation for miniLNM
Functions, R codes and Examples using the miniLNM R package
Full miniLNM package functions and examples
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