RHmm: hidden Markov models simulations and estimations. R package: Discrete, univariate or multivariate gaussian, mixture of univariate or multivariate gaussian HMM functions for simulation and estimation.
Keywords for this software
References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Paganoni, Anna Maria (ed.); Secchi, Piercesare (ed.): Advances in complex data modeling and computational methods in statistics. Selected papers based on the presentations at the conference “S.Co 2013, Complex data modeling and computationally intensive methods for estimation and prediction”, Milano, Italy, September 9--12, 2013 (2015)
- Visser, Ingmar; Speekenbrink, Maarten: Comments on: “Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates” (2014)
- Visser, Ingmar: Seven things to remember about hidden Markov models: A tutorial on Markovian models for time series (2011)