# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "lgpr" in publications use:' type: software license: GPL-3.0-or-later title: 'lgpr: Longitudinal Gaussian Process Regression' version: 1.2.5 doi: 10.1093/bioinformatics/btab021 identifiers: - type: doi value: 10.32614/CRAN.package.lgpr abstract: Interpretable nonparametric modeling of longitudinal data using additive Gaussian process regression. Contains functionality for inferring covariate effects and assessing covariate relevances. Models are specified using a convenient formula syntax, and can include shared, group-specific, non-stationary, heterogeneous and temporally uncertain effects. Bayesian inference for model parameters is performed using 'Stan'. The modeling approach and methods are described in detail in Timonen et al. (2021) . authors: - family-names: Timonen given-names: Juho email: juho.timonen@iki.fi orcid: https://orcid.org/0000-0003-2341-6765 preferred-citation: type: article title: 'lgpr: an interpretable non-parametric method for inferring covariate effects from longitudinal data' authors: - family-names: Timonen given-names: Juho email: juho.timonen@iki.fi orcid: https://orcid.org/0000-0003-2341-6765 - family-names: Mannerström given-names: Henrik - family-names: Vehtari given-names: Aki - family-names: Lähdesmäki given-names: Harri journal: Bioinformatics volume: '37' issue: '13' year: '2021' url: https://doi.org/10.1093/bioinformatics/btab021 start: '1860' end: '1867' doi: 10.1093/bioinformatics/btab021 repository: https://cran.r-universe.dev repository-code: https://github.com/jtimonen/lgpr commit: 00c84cd224f88e704aa143098497668f5e8e137c url: https://github.com/jtimonen/lgpr date-released: '2025-10-31' contact: - family-names: Timonen given-names: Juho email: juho.timonen@iki.fi orcid: https://orcid.org/0000-0003-2341-6765