Package: skipTrack
Title: A Bayesian Hierarchical Model that Controls for Non-Adherence in
        Mobile Menstrual Cycle Tracking
Version: 0.2.0
Authors@R: 
    person("Luke", "Duttweiler", , "lduttweiler@hsph.harvard.edu", role = c("aut", "cre", 'cph'),
           comment = c(ORCID = "0000-0002-0467-995X"))
Description: 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>.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.1
URL: https://github.com/LukeDuttweiler/skipTrack
BugReports: https://github.com/LukeDuttweiler/skipTrack/issues
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)
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-09 17:51:49 UTC; LukeDuttweiler
Author: Luke Duttweiler [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0002-0467-995X>)
Maintainer: Luke Duttweiler <lduttweiler@hsph.harvard.edu>
Repository: CRAN
Date/Publication: 2025-09-10 06:40:08 UTC
Built: R 4.6.0; ; 2026-04-26 15:13:44 UTC; unix
