vcov.fmx

A parametrization framework for finite mixture
distribution using S4 objects. Density, cumulative
density, quantile and simulation functions are defined.
Currently normal, Tukey g-&-h, skew-normal and skew-t
distributions are well tested. The gamma, negative
binomial distributions are being tested.

Tingting Zhan

Finite Mixture Parametrization

Inna Chervoneva

vcov.fmx function

<dl><dt>object</dt>
<dd>fmx object</dd>
<dt>internal</dt>
<dd><a href="/link/logical?package=fmx&version=0.1.2" data-mini-rdoc="fmx::logical">logical</a> scalar, either for the user-friendly parameters (<code>FALSE</code>, default)
(e.g., <code>mean,sd</code> for normal mixture, and <code>A,B,g,h</code> for Tukey \(g\)-and-\(h\) mixture), or
for the internal/unconstrained parameters (<code>TRUE</code>).</dd>
<dt>...</dt>
<dd>place holder for S3 naming convention</dd></dl>

Arguments

Variance-Covariance of fmx Object — vcov.fmx

<dl>

<dt>object</dt>
<dd>fmx object</dd>


<dt>internal</dt>
<dd><a href='https://rdrr.io/r/base/logical.html'>logical</a> scalar, either for the user-friendly parameters (<code>FALSE</code>, default)
(e.g., <code>mean,sd</code> for normal mixture, and <code>A,B,g,h</code> for Tukey \(g\)-and-\(h\) mixture), or
for the internal/unconstrained parameters (<code>TRUE</code>).</dd>


<dt>...</dt>
<dd>place holder for S3 naming convention</dd>

</dl>

vcov.fmx: Variance-Covariance of fmx Object

Description

Usage

Value

Arguments

Details