Application of two-regression algorithms for wearable research devices. It provides an easy way for users to read in device data files and apply an appropriate two-regression algorithm. More information is available from Hibbing PR, LaMunion SR, Kaplan AS, & Crouter SE (2017) <doi:10.1249/MSS.0000000000001532>.
| Version: | 0.1.2 |
| Depends: | R (≥ 2.10) |
| Imports: | data.table (≥ 1.10.4), dplyr (≥ 0.5.0), seewave (≥ 2.0.5), magrittr (≥ 1.5), utils (≥ 3.2.4), stats (≥ 3.2.4) |
| Suggests: | knitr, rmarkdown, testthat |
| Published: | 2018-03-19 |
| 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 | file LICENSE |
| URL: | https://github.com/paulhibbing/TwoRegression |
| NeedsCompilation: | no |
| Citation: | TwoRegression citation info |
| Materials: | README NEWS |
| CRAN checks: | TwoRegression results |
| Reference manual: | TwoRegression.pdf |
| Vignettes: |
The TwoRegression Package |
| Package source: | TwoRegression_0.1.2.tar.gz |
| Windows binaries: | r-devel: TwoRegression_0.1.2.zip, r-release: TwoRegression_0.1.2.zip, r-oldrel: TwoRegression_0.1.2.zip |
| macOS binaries: | r-release: TwoRegression_0.1.2.tgz, r-oldrel: TwoRegression_0.1.2.tgz |
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