rnorm.hsmm

This generates values from a normally distributed emission state <code>j</code> given parameters in <code>model</code>.

Parameter estimation and prediction for hidden Markov and semi-Markov models for data with multiple observation sequences.  Suitable for equidistant time series data, with multivariate and/or missing data. Allows user defined emission distributions.

Jared OConnell

mhsmm

Inference for Hidden Markov and Semi-Markov Models

rnorm.hsmm function

<dl> <dt>j</dt>
<dd>An integer representing the state</dd> <dt>model</dt>
<dd>A <code>hmmspec</code> or <code>hsmmspec</code> object</dd></dl>

Arguments

Jared O'Connell jaredoconnell@gmail.com

Author

Random number generation from a normally distributed emission distribution — rnorm.hsmm

<dl>

 <dt>j</dt>
<dd>An integer representing the state</dd>

 <dt>model</dt>
<dd>A <code>hmmspec</code> or <code>hsmmspec</code> object</dd>

</dl>

rnorm.hsmm: Random number generation from a normally distributed emission distribution

Description

Usage

Value

Arguments

Author

Details