to_mu_sd_weibull

The function <code>to_mu_sd_weibull</code> converts the parameters of shape and scale of weibull distributions to
the parameters of 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_weibull function

<dl><dt>k</dt>
<dd>a numeric vector representing the shape of a series of Weibull distributions</dd>
<dt>lambda</dt>
<dd>a numeric vector representing the scale of a series of Weibull distributions.
<code>k</code> and <code>lambda</code> should have the same length.</dd></dl>

Arguments

Parameter Conversion for Weibull Distribution — to_mu_sd_weibull

<dl>

<dt>k</dt>
<dd>a numeric vector representing the shape of a series of Weibull distributions</dd>


<dt>lambda</dt>
<dd>a numeric vector representing the scale of a series of Weibull distributions.
<code>k</code> and <code>lambda</code> should have the same length.</dd>

</dl>

to_mu_sd_weibull: Parameter Conversion for Weibull Distribution

Description

Usage

Value

Arguments

Details

See Also

Examples