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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>.

Versions across snapshots

VersionRepositoryFileSize
1.0.2 rolling linux/jammy R-4.5 HMMpa_1.0.2.tar.gz 190.6 KiB
1.0.2 rolling linux/noble R-4.5 HMMpa_1.0.2.tar.gz 190.5 KiB
1.0.2 rolling source/ R- HMMpa_1.0.2.tar.gz 56.2 KiB
1.0.2 latest linux/jammy R-4.5 HMMpa_1.0.2.tar.gz 190.6 KiB
1.0.2 latest linux/noble R-4.5 HMMpa_1.0.2.tar.gz 190.5 KiB
1.0.2 latest source/ R- HMMpa_1.0.2.tar.gz 56.2 KiB
1.0.2 2026-04-26 source/ R- HMMpa_1.0.2.tar.gz 56.2 KiB
1.0.2 2026-04-23 source/ R- HMMpa_1.0.2.tar.gz 56.2 KiB
1.0.2 2026-04-09 windows/windows R-4.5 HMMpa_1.0.2.zip 193.3 KiB
1.0.2 2025-04-20 source/ R- HMMpa_1.0.2.tar.gz 56.2 KiB

Dependencies (latest)

Imports