MHMM-package: Finite Mixture of Hidden Markov Models for accelerometer data

In MHMM: Finite Mixture of Hidden Markov Model

Description

Package:	MHMM
Type:	Package
Version:	1.0.0
Date:	2020-03-20
License:	GPL-2
LazyLoad:	yes

References

Du Roy de Chaumaray, M. and Marbac, M. and Navarro, F. (2019). Mixture of hidden Markov models for accelerometer data. arXiv preprint arXiv:1906.01547

Examples

data(accelero)
# To make the estimation <5
res <- mhmm(accelero, K = 2, M = 4, nbcores = 1, nbinit = 5, iterSmall = 2)
plot(res, 1)

 
data(accelero)
# It is better to increase the number of random initializations
res <- mhmm(accelero, K = 2, M = 4, nbcores = 1)
plot(res, 1)

MHMM documentation built on March 26, 2020, 7:46 p.m.