Longitudinal Gaussian Process Regression
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-07-29
- ERROR12 OK, 1 ERROR2026-07-27
- OK13 OK2026-06-09
Show 5 earlier changesHide 5 earlier changes
- ERROR12 OK, 1 ERROR2026-06-08
- OK12 OK2026-04-25
- NOTE11 OK, 3 NOTE2026-04-22
- ERROR10 OK, 3 NOTE, 1 ERROR2026-04-18
- NOTE11 OK, 3 NOTE2026-03-10
Documentation
- Help pages
- 68includes a package overview page
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 7%
- Documented parameters
- 97%
- Return-value docs
- 100%
- Help pages citing references
- 1%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- 57
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
Forks over time
Releases over time
Issues over time
PRs over time
7 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/jtimonen/lgpr on 2026-10-21.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 1.2.5Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.2.42023-09-24 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 1.2.32023-04-06 · diff ↗ ·
added 6 exports
add_factor_crossing, split_by_factor, split_data, split_random, split_within_factor, split_within_factor_random - RR 4.2.0 released · 2022-04-22
- 1.1.52021-09-23 · diff ↗
- 1.1.42021-08-11 · diff ↗
- 1.1.32021-06-21
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2021-06-21
- Total releases
- 6 / 5 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.4.0
- Bundled data
- 2.6 KB / 2 files
- Download size
- 200 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("lgpr")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1093/bioinformatics/btab021.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.