A1 Journal article (refereed)
Mixture Hidden Markov Models for Sequence Data : The seqHMM Package in R (2019)
Helske, S., & Helske, J. (2019). Mixture Hidden Markov Models for Sequence Data : The seqHMM Package in R. Journal of Statistical Software, 88, Article 3. https://doi.org/10.18637/jss.v088.i03
JYU authors or editors
Publication details
All authors or editors: Helske, Satu; Helske, Jouni
Journal or series: Journal of Statistical Software
ISSN: 1548-7660
eISSN: 1548-7660
Publication year: 2019
Volume: 88
Issue number: 0
Article number: 3
Publisher: Foundation for Open Access Statistics
Publication country: United States
Publication language: English
DOI: https://doi.org/10.18637/jss.v088.i03
Publication open access: Openly available
Publication channel open access: Open Access channel
Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/62916
Keywords: time series; sequence analysis; R (programming languages)
Contributing organizations
Related projects
- Eksaktisti approksimoidut Monte Carlo -m
- Vihola, Matti
- Research Council of Finland
- Exact approximate Monte Carlo methods for complex Bayesian inference (research costs)
- Vihola, Matti
- Research Council of Finland
Ministry reporting: Yes
Reporting Year: 2019
JUFO rating: 1