to_mu_sd_gamma

The function <code>to_mu_sd_gamma</code> converts the shape and rate to the mean and standard deviation

Performs maximum likelihood estimation for finite mixture models for families including Normal, Weibull, Gamma and Lognormal by using EM algorithm, together with Newton-Raphson algorithm or bisection method when necessary. It also conducts mixture model selection by using information criteria or bootstrap likelihood ratio test. The data used for mixture model fitting can be raw data or binned data. The model fitting process is accelerated by using R package 'Rcpp'.

Youjiao Yu

mixR

Finite Mixture Modeling for Raw and Binned Data

to_mu_sd_gamma function

<dl><dt>alpha</dt>
<dd>a numeric vector representing the shape of one or more than one gamma distributions</dd>
<dt>lambda</dt>
<dd>a numeric vector representing the rate of one or more than one gamma distributions.
<code>alpha</code> and <code>lambda</code> should have the same length.</dd></dl>

Arguments

Parameter Conversion for Gamma Distribution — to_mu_sd_gamma

<dl>

<dt>alpha</dt>
<dd>a numeric vector representing the shape of one or more than one gamma distributions</dd>


<dt>lambda</dt>
<dd>a numeric vector representing the rate of one or more than one gamma distributions.
<code>alpha</code> and <code>lambda</code> should have the same length.</dd>

</dl>

to_mu_sd_gamma: Parameter Conversion for Gamma Distribution

Description

Usage

Value

Arguments

Details

See Also

Examples