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

Documentation:

Reference manual:

HMMpa.pdf

Downloads:

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

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