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 (arm64): TwoRegression_0.1.2.tgz, r-oldrel (arm64): TwoRegression_0.1.2.tgz, r-release (x86_64): TwoRegression_0.1.2.tgz, r-oldrel (x86_64): TwoRegression_0.1.2.tgz |
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