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santaR

1.2.4

Short Asynchronous Time-Series Analysis

0packages depend
2.8Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Arnaud WolferFirst published 2018-01-245 releasesCRAN page ↗GitHub ↗

A graphical and automated pipeline for the analysis of short time-series in R ('santaR'). This approach is designed to accommodate asynchronous time sampling (i.e. different time points for different individuals), inter-individual variability, noisy measurements and large numbers of variables. Based on a smoothing splines functional model, 'santaR' is able to detect variables highlighting significantly different temporal trajectories between study groups. Designed initially for metabolic phenotyping, 'santaR' is also suited for other Systems Biology disciplines. Command line and graphical analysis (via a 'shiny' application) enable fast and parallel automated analysis and reporting, intuitive visualisation and comprehensive plotting options for non-specialist users.

Install

Health

CRAN checks
13OK
Slowest check: 4.7 min · r-release-macos-x86_64
Code health
Yes
Tests · ratio 0.68
not tracked
Coverage
100%
Documentation · exports
11
Dependencies · direct
Check history
  • OK2026-08-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 891 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
81%
Documented parameters
100%
Return-value docs
100%
References docs
11%

Downloads

2.8K
CRAN downloads in the past year
Rank #13,091 · ~8/day · ~234/mo
Daily download trend is not available in this view yet.
21530 days
78890 days
2.8K1 year
Compare downloads with other packages →
Also on140 r2u

Repository

Repository
11Stars
0Forks
2Open issues
0Open PRs
0Releases
66Commits
3Contributors
License GPL-3.0 · 66 commits · Last activity 2024-03-06

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/adwolfer/santar on 2026-08-23.

Continuous integration (1)
GitHub Actions
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
16 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.2
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Contributors (2)
Contributor
Contributor
Package Timeline

5 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.2.4Latest
    2024-03-07 · current release · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.2.3
    2022-05-24 · diff ↗
  • 1.2.2
    2022-05-22 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.2.0
    2022-04-09 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 1.0
    2018-01-24
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2018-01-24
Total releases
5 / 8 yrs
License
GPL-3 OSI
Minimum R
≥ 4.2
Bundled data
8.2 KB / 1 file
Download size
2.4 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("santaR")
Wolfer, A., Cheng, J., & Ebbels, T. (2024). santaR: Short Asynchronous Time-Series Analysis (Version 1.2.4) [Computer software]. https://doi.org/10.32614/CRAN.package.santaR

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 santaR version 1.2.4 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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