# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "miniLNM" in publications use:' type: software license: CC0-1.0 title: 'miniLNM: Miniature Logistic-Normal Multinomial Models' version: 0.1.0 doi: 10.32614/CRAN.package.miniLNM identifiers: - type: url value: https://krisrs1128.github.io/miniLNM/ abstract: '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" and Sankaran and Holmes (2023) "Generative Models: An Interdisciplinary Perspective" .' authors: - family-names: Sankaran given-names: Kris email: ksankaran@wisc.edu orcid: https://orcid.org/0000-0002-9415-1971 repository: https://krisrs1128.r-universe.dev repository-code: https://github.com/krisrs1128/miniLNM/issues/ commit: 57571dad4a7b3afc17588c91f2b920677383c619 url: https://github.com/krisrs1128/miniLNM/ contact: - family-names: Sankaran given-names: Kris email: ksankaran@wisc.edu orcid: https://orcid.org/0000-0002-9415-1971