Learn R Programming

⚠️There's a newer version (3.0-9) of this package.Take me there.

hmm.discnp (version 0.1-5)

Hidden Markov models with discrete non-parametric observation distributions.

Description

Fits hidden Markov models with discrete non-parametric observation distributions to data sets. Simulates data from such models. Finds most probable underlying hidden states, the most probable sequences of such states, and the log likelihood of a collection of observations given the parameters of the model.

Copy Link

Version

Install

install.packages('hmm.discnp')

Monthly Downloads

409

Version

0.1-5

License

GPL (>= 2)

Maintainer

Rolf Turner

Last Published

November 4th, 2011

Functions in hmm.discnp (0.1-5)

sim.hmm

Simulate discrete data from a hidden Markov model.
pr

Probability of state sequences.
hmm.discnp-internal

Internal hmm.discnp functions.
mps

Most probable states.
viterbi

Most probable state sequence.
hmm

Fit a hidden Markov model to discrete data.
sp

Calculate the conditional state probabilities.
fitted.hmm.discnp

Fitted values of a discrete non-parametric hidden Markov model.
logLikHmm

Log likelihood of a hidden Markov model