to_k_lambda_weibull

The function <code>to_k_lambda_weibull</code> converts the mean and standard deviation to the shape and scale for
the Weibull distributions.

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_k_lambda_weibull function

<dl><dt>mu</dt>
<dd>a numeric vector representing the means of Weibull distributions</dd>
<dt>sd</dt>
<dd>a numeric vector representing the standard deviations of Weibull distributions.
<code>mu</code> and <code>sd</code> should have the same length.</dd></dl>

Arguments

Parameter Conversion for Weibull Distribution — to_k_lambda_weibull

<dl>

<dt>mu</dt>
<dd>a numeric vector representing the means of Weibull distributions</dd>


<dt>sd</dt>
<dd>a numeric vector representing the standard deviations of Weibull distributions.
<code>mu</code> and <code>sd</code> should have the same length.</dd>

</dl>

to_k_lambda_weibull: Parameter Conversion for Weibull Distribution

Description

Usage

Value

Arguments

Details

See Also

Examples