skipTrack: An R package for Identifying Skips in Self-Tracked Mobile Menstrual Cycle Data

R Submitted 03 June 2024Published 16 September 2024
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Editor: @skanwal (all papers)
Reviewers: @ankurankan (all reviews), @nilabhrardas (all reviews)

Authors

Luke Duttweiler (0000-0002-0467-995X), Shruthi Mahalingaiah (0000-0002-5527-5787), Brent Coull (0000-0002-1808-4156)

Citation

Duttweiler et al., (2024). skipTrack: An R package for Identifying Skips in Self-Tracked Mobile Menstrual Cycle Data. Journal of Open Source Software, 9(101), 6928, https://doi.org/10.21105/joss.06928

@article{Duttweiler2024, doi = {10.21105/joss.06928}, url = {https://doi.org/10.21105/joss.06928}, year = {2024}, publisher = {The Open Journal}, volume = {9}, number = {101}, pages = {6928}, author = {Luke Duttweiler and Shruthi Mahalingaiah and Brent Coull}, title = {skipTrack: An R package for Identifying Skips in Self-Tracked Mobile Menstrual Cycle Data}, journal = {Journal of Open Source Software} }
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menstrual cycle Bayesian hierarchical model MCMC

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ISSN 2475-9066