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
Author: Vitali Witowski, Ronja Foraita
Maintainer: Ronja Foraita <foraita at leibniz-bips.de>
License: GPL-3
NeedsCompilation: no
CRAN checks: HMMpa results

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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
OS X binaries: r-release: HMMpa_1.0.1.tgz, r-oldrel: HMMpa_1.0.1.tgz
Old sources: HMMpa archive

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