Mixture Hidden Markov Models for Sequence Data: The seqHMM Package in R
Abstract
Sequence analysis is being more and more widely used for the analysis of social sequences and other multivariate categorical time series data. However, it is often complex to describe, visualize, and compare large sequence data, especially when there are multiple parallel sequences per subject. Hidden (latent) Markov models (HMMs) are able to detect underlying latent structures and they can be used in various longitudinal settings: to account...
Paper Details
Title
Mixture Hidden Markov Models for Sequence Data: The seqHMM Package in R
Published Date
Jan 29, 2019
Volume
88
Issue
3
Pages
1 - 32
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