skipTrack: A Bayesian Hierarchical Model that Controls for Non-Adherence inMobile Menstrual Cycle Tracking
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>.
| Version: | 0.2.0 |
| Imports: | doParallel (≥ 1.0.0),foreach (≥ 1.5.0),genMCMCDiag (≥0.2.0),ggplot2 (≥ 3.4.0),ggtext (≥ 0.1.0),glmnet (≥4.1.0),gridExtra (≥ 2.0),LaplacesDemon (≥ 16.0.0),lifecycle,mvtnorm (≥ 1.2.0),optimg (≥ 0.1.2), parallel (≥4.0.0), stats (≥ 4.0.0), utils (≥ 4.0.0) |
| Suggests: | knitr,rmarkdown,testthat (≥ 3.0.0) |
| Published: | 2025-09-10 |
| DOI: | 10.32614/CRAN.package.skipTrack |
| Author: | Luke Duttweiler [aut, cre, cph] |
| Maintainer: | Luke Duttweiler <lduttweiler at hsph.harvard.edu> |
| BugReports: | https://github.com/LukeDuttweiler/skipTrack/issues |
| License: | MIT + fileLICENSE |
| URL: | https://github.com/LukeDuttweiler/skipTrack |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | skipTrack results |
Documentation:
| Reference manual: | skipTrack.html ,skipTrack.pdf |
| Vignettes: | Getting Started with the SkipTrack Package (source,R code) |
Downloads:
| Package source: | skipTrack_0.2.0.tar.gz |
| Windows binaries: | r-devel:skipTrack_0.2.0.zip, r-release:skipTrack_0.2.0.zip, r-oldrel:skipTrack_0.2.0.zip |
| macOS binaries: | r-release (arm64):skipTrack_0.2.0.tgz, r-oldrel (arm64):skipTrack_0.2.0.tgz, r-release (x86_64):skipTrack_0.2.0.tgz, r-oldrel (x86_64):skipTrack_0.2.0.tgz |
| Old sources: | skipTrack archive |
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=skipTrackto link to this page.