simHMM: Simulate states and observations for a Hidden Markov Model

In HMM: Hidden Markov Models

Simulate states and observations for a Hidden Markov Model

Description

Simulates a path of states and observations for a given Hidden Markov Model.

Usage

simHMM(hmm, length)

Arguments

hmm	A Hidden Markov Model.
length	The length of the simulated sequence of observations and states.

Format

Dimension and Format of the Arguments.

hmm

A valid Hidden Markov Model, for example instantiated by initHMM.

Value

The function simHMM returns a path of states and associated observations:

states	The path of states.
observations	The sequence of observations.

Author(s)

Lin Himmelmann <[e-mail]>, Scientific Software Development

See Also

See initHMM for instantiation of Hidden Markov Models.

Examples

# Initialise HMM
hmm = initHMM(c("X","Y"),c("a","b","c"))
# Simulate from the HMM
simHMM(hmm, 100)

HMM documentation built on March 23, 2022, 5:06 p.m.