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skipTrack

0.2.0

A Bayesian Hierarchical Model that Controls for Non-Adherence in Mobile Menstrual Cycle Tracking

0packages depend
5.1Kdownloads / year
75.7%test coverage
13/13flavors OK

Overview

About

Implements a Bayesian hierarchical model designed to identify skips in mobile menstrual cycle self-tracking on mobile apps. Future developments will allow for the inclusion of covariates affecting cycle mean and regularity, as well as extra information regarding tracking non-adherence. Main methods to be outlined in a forthcoming paper, with alternative models from Li et al. (2022) doi:10.1093/jamia/ocab182.

Changes in 0.2.0

New Features

*skipTrack.fit() can now incorporate longitudinal data in X matrix. Users are no

longer limited to one row of data per individual in X, but can now have one row

of data per cycle if desired.

Minor improvements and fixes

*skipTrack.results() now produces a helpful error message if burnIn is less than fit length.

*Fit now sets all starting cij values to 1 which is much more logical and mixing occurs

much quicker.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 4.9 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • WARNING12 OK, 1 WARNING2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.2.0
READMEYes · 783 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.2.0Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
30 (1 internal)includes a package overview page
Examples that run
100%9 run in a plain check
Exported functions with examples
100%
Documented parameters
98%
Return-value docs
100%
Help pages citing references
17%

Downloads

5.1K
CRAN downloads in the past year
Rank #14,150 · ~14/day · ~422/mo
Daily download trend is not available in this view yet.
32730 days
81290 days
5.1K1 year
Compare downloads with other packages →
Also on74 r2u6 autocran

Repository

0Stars
0Forks
0Open issues
0Open PRs
3Releases
133Commits
2Commit identities
133 commits · Last activity 2026-04-30 · Default branch at 0.2.0.9000, ahead of CRAN 0.2.0 (checked 2026-10-11)
Responsiveness
How these are sampled
PRs merged (all time)
not measured
Median days to close, 50 most recently updated closed issues
170
Median days to close, 50 most recently updated closed PRs
not measured

Releases over time

2025-08-07 · 32026-07-07 · 3
PracticesBeta

7 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/lukeduttweiler/skiptrack on 2026-10-11.

Continuous integration (2)
GitHub ActionsR CMD check workflow

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

Governance and community (1)
Contributing guide
Docs source (1)
README.Rmd
CRAN release process (1)
cran-comments.md
Show all practicesHide 2 practices
Research and citation (1)
JOSS paper
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
15 external dependencies (excludes base and recommended)

Installing skipTrack adds 68 packages (32 with compiled code, 46 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, glmnet 2.7 MB.

Depends (0)
none
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 0.1.0 (2024), Copyright holder
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.0Latest
    record
    2025-09-10 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1.2
    record
    2025-01-27 · diff ↗
  • 0.1.0
    record
    2024-05-16
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-05-16
Total releases
3 / 2 yrs
License
MIT + file LICENSE OSI
Download size
470 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("skipTrack")
Duttweiler, L. (2025). skipTrack: A Bayesian Hierarchical Model that Controls for Non-Adherence in Mobile Menstrual Cycle Tracking (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.skipTrack

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 skipTrack version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-10-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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