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countHMM

Penalized Estimation of Flexible Hidden Markov Models for Time Series of Counts

Provides tools for penalized estimation of flexible hidden Markov models for time series of counts w/o the need to specify a (parametric) family of distributions. These include functions for model fitting, model checking, and state decoding. For details, see Adam, T., Langrock, R., and Weiß, C.H. (2019): Penalized Estimation of Flexible Hidden Markov Models for Time Series of Counts. <arXiv:1901.03275>.

Versions across snapshots

VersionRepositoryFileSize
0.1.0 rolling linux/jammy R-4.5 countHMM_0.1.0.tar.gz 43.5 KiB
0.1.0 rolling linux/noble R-4.5 countHMM_0.1.0.tar.gz 43.3 KiB
0.1.0 rolling source/ R- countHMM_0.1.0.tar.gz 5.8 KiB
0.1.0 latest linux/jammy R-4.5 countHMM_0.1.0.tar.gz 43.5 KiB
0.1.0 latest linux/noble R-4.5 countHMM_0.1.0.tar.gz 43.3 KiB
0.1.0 latest source/ R- countHMM_0.1.0.tar.gz 5.8 KiB
0.1.0 2026-04-26 source/ R- countHMM_0.1.0.tar.gz 5.8 KiB
0.1.0 2026-04-23 source/ R- countHMM_0.1.0.tar.gz 5.8 KiB
0.1.0 2026-04-09 windows/windows R-4.5 countHMM_0.1.0.zip 46.4 KiB
0.1.0 2025-04-20 source/ R- countHMM_0.1.0.tar.gz 5.8 KiB