TwoRegression: Develop and Apply Two-Regression Algorithms
Facilitates development and application of two-regression algorithms for research-grade wearable devices. It provides an easy way for users to access previously-developed algorithms, and also to develop their own. Initial motivation came from Hibbing PR, LaMunion SR, Kaplan AS, & Crouter SE (2018) <doi:10.1249/MSS.0000000000001532>. However, other algorithms are now supported. Please see the associated references in the package documentation for full details of the algorithms that are supported.
| Version: | 1.1.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | dplyr (≥ 0.5.0),ggplot2 (≥ 3.4.0),gridExtra (≥ 2.3),lubridate,magrittr (≥ 1.5),PAutilities (≥ 1.1.0),pROC (≥1.16.0),RcppRoll,rlang, stats,tidyr |
| Suggests: | knitr,rmarkdown,testthat (≥ 3.0.0) |
| Published: | 2025-11-19 |
| DOI: | 10.32614/CRAN.package.TwoRegression |
| Author: | Paul R. Hibbing [aut, cre], Vincent T. van Hees [ctb] |
| Maintainer: | Paul R. Hibbing <paulhibbing at gmail.com> |
| BugReports: | https://github.com/paulhibbing/TwoRegression/issues |
| License: | GPL-3 |
| URL: | https://github.com/paulhibbing/TwoRegression |
| NeedsCompilation: | no |
| Citation: | TwoRegression citation info |
| Materials: | NEWS |
| CRAN checks: | TwoRegression results |
Documentation:
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