Package: lgpr
Title: Longitudinal Gaussian Process Regression
Version: 1.2.5
Authors@R: 
    c(person(given = "Juho",
           family = "Timonen",
           role = c("aut", "cre"),
           email = "juho.timonen@iki.fi",
           comment = c(ORCID = "0000-0003-2341-6765")
           ),
      person(given = "Andrew",
           family = "Johnson",
           role = c("ctb")
           )
    )
Description: 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)
        <doi:10.1093/bioinformatics/btab021>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Biarch: true
Depends: R (>= 3.4.0), methods
Imports: Rcpp (>= 0.12.0), RcppParallel (>= 5.0.2), RCurl (>= 1.98),
        rstan (>= 2.26.0), rstantools (>= 2.3.1), bayesplot (>= 1.7.0),
        MASS (>= 7.3-50), stats (>= 3.4), ggplot2 (>= 3.1.0), gridExtra
        (>= 0.3.0)
LinkingTo: BH (>= 1.75.0-0), Rcpp (>= 1.0.6), RcppEigen (>= 0.3.3.9.1),
        RcppParallel (>= 5.0.2), rstan (>= 2.26.0), StanHeaders (>=
        2.26.0)
SystemRequirements: GNU make
NeedsCompilation: yes
RoxygenNote: 7.3.2
Suggests: knitr, rmarkdown, testthat, covr
URL: https://github.com/jtimonen/lgpr
BugReports: https://github.com/jtimonen/lgpr/issues
VignetteBuilder: knitr
Packaged: 2026-10-29 10:42:03 UTC; root
Author: Juho Timonen [aut, cre] (ORCID:
        <https://orcid.org/0000-0003-2341-6765>), Andrew Johnson [ctb]
Maintainer: Juho Timonen <juho.timonen@iki.fi>
Config/pak/sysreqs: make
Repository: https://cran.r-universe.dev
Date/Publication: 2025-10-31 02:15:14 UTC
RemoteUrl: https://github.com/cran/lgpr
RemoteRef: HEAD
RemoteSha: 00c84cd224f88e704aa143098497668f5e8e137c