skipTrack
A Bayesian Hierarchical Model that Controls for Non-Adherence in Mobile 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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.0 |
rolling linux/jammy R-4.5 | skipTrack_0.2.0.tar.gz |
561.5 KiB |
0.2.0 |
rolling linux/noble R-4.5 | skipTrack_0.2.0.tar.gz |
561.4 KiB |
0.2.0 |
rolling source/ R- | skipTrack_0.2.0.tar.gz |
470.3 KiB |
0.2.0 |
latest linux/jammy R-4.5 | skipTrack_0.2.0.tar.gz |
561.5 KiB |
0.2.0 |
latest linux/noble R-4.5 | skipTrack_0.2.0.tar.gz |
561.4 KiB |
0.2.0 |
latest source/ R- | skipTrack_0.2.0.tar.gz |
470.3 KiB |
0.2.0 |
2026-04-26 source/ R- | skipTrack_0.2.0.tar.gz |
470.3 KiB |
0.2.0 |
2026-04-23 source/ R- | skipTrack_0.2.0.tar.gz |
470.3 KiB |
0.2.0 |
2026-04-09 windows/windows R-4.5 | skipTrack_0.2.0.zip |
567.8 KiB |
0.1.2 |
2025-04-20 source/ R- | skipTrack_0.1.2.tar.gz |
420.8 KiB |
Dependencies (latest)
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)