Package: lgpr
Title: Longitudinal Gaussian Process Regression
Version: 1.2.4
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: 7.2.3
Suggests: knitr, rmarkdown, testthat, covr
URL: https://github.com/jtimonen/lgpr
BugReports: https://github.com/jtimonen/lgpr/issues
VignetteBuilder: knitr
Packaged: 2023-09-24 03:44:19 UTC; juho
Author: Juho Timonen [aut, cre] (<https://orcid.org/0000-0003-2341-6765>),
  Andrew Johnson [ctb]
Maintainer: Juho Timonen <juho.timonen@iki.fi>
Repository: CRAN
Date/Publication: 2023-09-24 06:50:02 UTC
Built: R 4.4.0; x86_64-apple-darwin20; 2024-01-22 16:03:12 UTC; unix
Archs: lgpr.so.dSYM
