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: 1.0.1
Depends: R (≥ 2.10.0)
Published: 2018-11-15
DOI: 10.32614/CRAN.package.HMMpa
Author: Vitali Witowski, Ronja Foraita
Maintainer: Ronja Foraita <foraita at>
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:, r-release:, r-oldrel:
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 dependencies:

Reverse imports: coconots


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