fmx_diagnosis: Diagnoses for fmx Estimates

In fmx: Finite Mixture Parametrization

Diagnoses for fmx Estimates

Description

Diagnoses for fmx estimates.

Usage

Kolmogorov_fmx(object, data = object@data, ...)

KullbackLeibler_fmx(object, data = object@data, ...)

CramerVonMises_fmx(object, data = object@data, ...)

Arguments

object	fmx object, or an R object convertible to an fmx object
data	double vector, observed data. Default is object@data, the data used for estimation.
...	additional parameters, currently not in use

Details

Function Kolmogorov_fmx() calculates Kolmogorov distance.

Function KullbackLeibler_fmx calculates Kullback-Leibler divergence. The R code is adapted from LaplacesDemon::KLD.

Function CramerVonMises_fmx calculates Cramer-von Mises quadratic distance (via cvm.test).

Value

Functions Kolmogorov_fmx(), KullbackLeibler_fmx(), CramerVonMises_fmx() all return numeric scalars.

See Also

dgof::cvmf.test

fmx documentation built on April 3, 2025, 7:09 p.m.