HMMpa: Analysing Accelerometer Data Using Hidden Markov Models
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: | 1.0.2 |
| Depends: | R (≥ 2.10.0) |
| Imports: | graphics, stats |
| Published: | 2025-01-31 |
| DOI: | 10.32614/CRAN.package.HMMpa |
| Author: | Vitali Witowski [aut],
Foraita Ronja 
[cre, aut] |
| Maintainer: | Foraita Ronja <foraita at leibniz-bips.de> |
| BugReports: | https://github.com/bips-hb/HMMpa/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/bips-hb/HMMpa |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | HMMpa results |
Documentation:
| Reference manual: | HMMpa.html , HMMpa.pdf |
Downloads:
| Package source: | HMMpa_1.0.2.tar.gz |
| Windows binaries: | r-devel: HMMpa_1.0.2.zip, r-release: HMMpa_1.0.2.zip, r-oldrel: HMMpa_1.0.2.zip |
| macOS binaries: | r-release (arm64): HMMpa_1.0.2.tgz, r-oldrel (arm64): HMMpa_1.0.2.tgz, r-release (x86_64): HMMpa_1.0.2.tgz, r-oldrel (x86_64): HMMpa_1.0.2.tgz |
| Old sources: | HMMpa archive |
Reverse dependencies:
| Reverse imports: | coconots |
Linking:
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