Helske S, Helske J (2019). “Mixture Hidden Markov Models for Sequence Data: The seqHMM Package in R.” Journal of Statistical Software, 88(3), 1–32. doi:10.18637/jss.v088.i03.
Helske J (2025). “Feedback-augmented Non-homogeneous Hidden Markov Models for Longitudinal Causal Inference.” arXiv preprint. doi:10.48550/arXiv.2503.16014.
Helske J, Helske S (2026). seqHMM: Mixture hidden Markov models for social sequence data and other multivariate, multichannel categorical time series. doi:10.32614/CRAN.package.seqHMM, R package version 2.2.0.
Corresponding BibTeX entries:
@Article{,
title = {Mixture Hidden {M}arkov Models for Sequence Data: The
{seqHMM} Package in {R}},
author = {Satu Helske and Jouni Helske},
journal = {Journal of Statistical Software},
year = {2019},
volume = {88},
number = {3},
pages = {1--32},
doi = {10.18637/jss.v088.i03},
}
@Article{,
title = {Feedback-augmented Non-homogeneous Hidden {M}arkov Models
for Longitudinal Causal Inference},
author = {Jouni Helske},
journal = {arXiv preprint},
year = {2025},
doi = {10.48550/arXiv.2503.16014},
}
@Manual{,
title = {seqHMM: Mixture hidden {Markov} models for social sequence
data and other multivariate, multichannel categorical time
series},
author = {Jouni Helske and Satu Helske},
year = {2026},
note = {R package version 2.2.0},
doi = {10.32614/CRAN.package.seqHMM},
}
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.