gammafit

Estimates parameters for the Gamma distribution using the Method of Maximum Likelihood, works with weighted data.

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

gammafit function

<dl> <dt>x</dt>
<dd>A vector of observations</dd> <dt>wt</dt>
<dd>Optional set of weights</dd></dl>

Arguments

Jared O'Connell jaredoconnell@gmail.com

Author

Parameter estimation for the Gamma distribution — gammafit

<dl>

 <dt>x</dt>
<dd>A vector of observations</dd>

 <dt>wt</dt>
<dd>Optional set of weights</dd>

</dl>

gammafit: Parameter estimation for the Gamma distribution

Description

Usage

Value

Arguments

Author

References

Examples