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>.
Version: | 1.2.4 |
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) |
Suggests: | knitr, rmarkdown, testthat, covr |
Published: | 2023-09-24 |
DOI: | 10.32614/CRAN.package.lgpr |
Author: | Juho Timonen [aut, cre], Andrew Johnson [ctb] |
Maintainer: | Juho Timonen <juho.timonen at iki.fi> |
BugReports: | https://github.com/jtimonen/lgpr/issues |
License: | GPL (≥ 3) |
URL: | https://github.com/jtimonen/lgpr |
NeedsCompilation: | yes |
SystemRequirements: | GNU make |
Citation: | lgpr citation info |
Materials: | README |
CRAN checks: | lgpr results |
Reference manual: | lgpr.pdf |
Vignettes: |
Mathematical description of lgpr models |
Package source: | lgpr_1.2.4.tar.gz |
Windows binaries: | r-devel: lgpr_1.2.4.zip, r-release: lgpr_1.2.4.zip, r-oldrel: lgpr_1.2.4.zip |
macOS binaries: | r-release (arm64): lgpr_1.2.4.tgz, r-oldrel (arm64): lgpr_1.2.4.tgz, r-release (x86_64): lgpr_1.2.4.tgz, r-oldrel (x86_64): lgpr_1.2.4.tgz |
Old sources: | lgpr archive |
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