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Analysing time-series accelerometer data to quantify length and intensity of physical activity using hidden Markov models. It also contains the traditional cut-off point method. Witowski V, Foraita R, Pitsiladis Y, Pigeot I, Wirsik N (2014)<doi:10.1371/journal.pone.0114089>.
| Version: | 1.0.1 |
| Depends: | R (≥ 2.10.0) |
| Published: | 2018-11-15 |
| Author: | Vitali Witowski, Ronja Foraita |
| Maintainer: | Ronja Foraita <foraita at leibniz-bips.de> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | HMMpa results |
| Reference manual: | HMMpa.pdf |
| Package source: | HMMpa_1.0.1.tar.gz |
| Windows binaries: | r-devel: HMMpa_1.0.1.zip, r-release: HMMpa_1.0.1.zip, r-oldrel: HMMpa_1.0.1.zip |
| macOS binaries: | r-release (arm64): HMMpa_1.0.1.tgz, r-oldrel (arm64): HMMpa_1.0.1.tgz, r-release (x86_64): HMMpa_1.0.1.tgz, r-oldrel (x86_64): HMMpa_1.0.1.tgz |
| Old sources: | HMMpa archive |
| Reverse imports: | coconots |
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