A Tool for 'Covariate'-Sensitive Longitudinal Analysis on 'omics' Data
Overview
This tool takes longitudinal dataset as input and analyzes if there is significant change of the features over time (a proxy for treatments), while detects and controls for 'covariates' simultaneously. 'LongDat' is able to take in several data types as input, including count, proportion, binary, ordinal and continuous data. The output table contains p values, effect sizes and 'covariates' of each feature, making the downstream analysis easy.
- Updated the maintainer email address (previous address bounced).
From NEWS.md in the release
Install
Health
NOTERd contentsr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Rd files without \usage: ‘ConModelTest_cont.Rd’ ‘ConModelTest_disc.Rd’ ‘NuModelTest_cont.Rd’ ‘NuModelTest_disc.Rd’ ‘cliff_cal.Rd’ ‘cuneiform_plot.Rd’ ‘random_neg_ctrl_cont.Rd’ ‘random_neg_ctrl_disc.Rd’ ‘rm_sparse_cont.Rd’ ‘rm_sparse_disc.Rd’ ‘theta_plot.Rd’ \arguments should not be documented without \usage.
- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 1 NOTE2026-07-11
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-30
- ERROR13 OK, 1 ERROR2026-03-28
Show 1 earlier changeHide 1 earlier change
- OK14 OK2026-03-10
Documentation
- Help pages
- 28
- Examples that run
- 45%5 run in a plain check · 6 never run
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- not measured
- Median days to close, 50 most recently updated closed issues
- 192
- Median days to close, 50 most recently updated closed PRs
- not measured
Stars over time
Forks over time
Issues over time
4 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/ccy-dev/longdat on 2026-10-11.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
Dependencies
Installing LongDat adds 111 packages (53 with compiled code, 90 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- 1.1.4Latest
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.1.32024-11-19 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 1.1.22023-07-17 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 1.1.12023-04-17 · diff ↗
- 1.1.02022-07-14 · diff ↗
- 1.0.52022-06-21 · diff ↗
- 1.0.42022-06-01 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 1.0.32022-02-26 · diff ↗
- 1.0.22022-02-17 · diff ↗
- 1.0.12022-02-02 · diff ↗
- 1.0.02022-01-18
Show 1 earlier eventHide 1 earlier event
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2022-01-18
- Total releases
- 11 / 4 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 4.0.0
- Bundled data
- 2.5 KB / 6 files
- Download size
- 635 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("LongDat")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1093/bioadv/vbad063.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.