vcov.fmx: Variance-Covariance of fmx Object

In fmx: Finite Mixture Parametrization

Variance-Covariance of fmx Object

Description

..

Usage

## S3 method for class 'fmx'
vcov(object, internal = FALSE, ...)

Arguments

object	fmx object
internal	logical scalar, either for the user-friendly parameters ('FALSE', default) (e.g., 'mean,sd' for normal mixture, and 'A,B,g,h' for Tukey g-and-h mixture), or for the internal/unconstrained parameters ('TRUE').
...	place holder for S3 naming convention

Details

The function [vcov.fmx()] returns the approximate asymptotic variance-covariance matrix of the user-friendly parameters via delta-method (‘parm = ’user''), or the asymptotic variance-covariance matrix of the internal/unconstrained parameters (‘parm = ’internal''). When the distribution has constraints on one or more parameters, function [vcov.fmx()] does not return the variance/covariance involving the constrained parameters.

Value

The function [vcov.fmx()] returns a matrix.

fmx documentation built on July 17, 2026, 1:07 a.m.