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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://matteoamestoy.r-universe.dev
repository-code: https://github.com/MatteoAmestoy/ProfileGLMM-package
commit: 2fc3c9e48abf07147a1d5461dbac626be44753db
url: https://github.com/MatteoAmestoy/ProfileGLMM-package
date-released: '2026-02-03'
contact:
- family-names: Amestoy
  given-names: Matteo
  email: m.amestoy@amsterdamumc.nl