Zero-Inflated Poisson Hidden (Semi-)Markov Models

Documentation for package ‘ziphsmm’ version 1.0.4

package-ziphsmm-package	zero-inflated poisson hidden (semi-)Markov models
ziphsmm-package	zero-inflated poisson hidden (semi-)Markov models
CAT	Pseudo activity count (per minute) data for cats
dzip	pmf for zero-inflated poisson
hmmfit	Estimate the parameters of a homogeneous hidden Markov model by directly minimizing of the negative log-likelihood function
hmmsim	Simulate a hidden Markov series and its underlying states with zero-inflated emission distributions
hmmsim2	Simulate a hidden Markov series and its underlying states with covariates
hmmviterbi	Viterbi algorithm to decode the latent states for hidden Markov models
hmmviterbi2	Viterbi algorithm to decode the latent states in hidden Markov models with covariate values
hsmmfit	Estimate the parameters of a homogeneous hidden semi-Markov model by directly minimizing of the negative log-likelihood function
hsmmsim	Simulate a hidden semi-Markov series and its corresponding states according to the specified parameters
hsmmsim2	Simulate a hidden semi-Markov series and its underlying states with covariates
hsmmviterbi	Viterbi algorithm to decode the latent states for hidden semi-Markov models
hsmmviterbi2	Viterbi algorithm to decode the latent states in hidden semi-Markov models with covariates
package-ziphsmm	zero-inflated poisson hidden (semi-)Markov models
rzip	generate zero-inflated poisson random variables