to_mulog_sdlog_lnorm

The function <code>to_mulog_sdlog_lnorm</code> converts the mean and standard deviation to
the logarithm mean and logarithm 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_mulog_sdlog_lnorm function

<dl><dt>mu</dt>
<dd>a vector of means of lognormal distributions</dd>
<dt>sd</dt>
<dd>a vector of standard deviations of lognormal distributions</dd></dl>

Arguments

Parameter Conversion for Lognormal Distribution — to_mulog_sdlog_lnorm

<dl>

<dt>mu</dt>
<dd>a vector of means of lognormal distributions</dd>


<dt>sd</dt>
<dd>a vector of standard deviations of lognormal distributions</dd>

</dl>

to_mulog_sdlog_lnorm: Parameter Conversion for Lognormal Distribution

Description

Usage

Value

Arguments

Details

See Also

Examples