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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "ProfileGLMM" in publications use:'
type: software
license: GPL-2.0-only
title: 'ProfileGLMM: Bayesian Profile Regression using Generalised Linear Mixed Models'
version: 1.1.0
doi: 10.32614/CRAN.package.ProfileGLMM
abstract: Implements a Bayesian profile regression using a generalized linear mixed
  model as output model. The package allows for binary (probit mixed model) and continuous
  (linear mixed model) outcomes and both continuous and categorical clustering variables.
  The package utilizes 'RcppArmadillo' and 'RcppDist' for high-performance statistical
  computing in C++. For more details see Amestoy & al. (2025) <https://doi.org/10.48550/arXiv.2510.08304>.
authors:
- family-names: Amestoy
  given-names: Matteo
  email: m.amestoy@amsterdamumc.nl
repository: https://cran.r-universe.dev
repository-code: https://github.com/MatteoAmestoy/ProfileGLMM-package
commit: ef380a56413a855978a43053c1e4514467d5aa1a
url: https://github.com/MatteoAmestoy/ProfileGLMM-package
date-released: '2026-02-03'
contact:
- family-names: Amestoy
  given-names: Matteo
  email: m.amestoy@amsterdamumc.nl