Skip to content

Longitudinal Gaussian Process Regression

0packages depend
3.3Kdownloads / year
89.2%test coverage
13/13flavors OK

Overview

About

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

CRAN checks
13OK
Slowest check: 20.8 min · r-oldrel-windows-x86_64
Status changes
  • 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
Advisories

none known

Documentation

In release 1.2.5
READMEYes · 316 wordsVignettesYes · 1 · dynamicNEWS· In the repository, left out of the releaseCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
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

3.3K
CRAN downloads in the past year
Rank #11,903 · ~9/day · ~271/mo
Daily download trend is not available in this view yet.
32730 days
92490 days
3.3K1 year
Compare downloads with other packages →
Also on379 r2u3 autocran

Repository

28Stars
2Forks
3Open issues
0Open PRs
23Releases
521Commits
2Commit identities
stanlongitudinal-datagaussian-processesbayesian-inferencer-packages
521 commits · Last activity 2025-10-30 · 0% stars, 30d
Responsiveness
How these are sampled
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

2025-10-03 · 262026-07-07 · 28
PracticesBeta

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.

Continuous integration (3)
GitHub ActionsR CMD check workflowTravis CI (config file)

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (2)
Contributing guideIssue templates
Docs source (1)
pkgdown
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
18 external dependencies (excludes base and recommended)

Installing lgpr adds 62 packages (33 with compiled code, 67 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, ggplot2 6.0 MB.

Depends (2)
R >= 3.4.0methods
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 1.1.3 (2021)
Contributor · added in 1.2.3
Releases (6)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.2.5Latest
    record
    2025-10-31 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.2.4
    record
    2023-09-24 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.2.3
    record
    2023-04-06 · diff ↗ ·
    added 6 exports
    add_factor_crossing, split_by_factor, split_data, split_random, split_within_factor, split_within_factor_random
  • R
    R 4.2.0 released · 2022-04-22
  • 1.1.5
    record
    2021-09-23 · diff ↗
  • 1.1.4
    record
    2021-08-11 · diff ↗
  • 1.1.3
    record
    2021-06-21
  • R
    R 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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for lgpr version 1.2.5 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

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.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy