MixedDistributionError {DistributionOptimization} | R Documentation |
MixedDistributionError
Description
Calculates a fitting error as well as the overlapping measure for the mixtures. Combines them with ratio rho in favor of Overlapping.
Usage
MixedDistributionError(Means, SDs, Weights, Data, rho = 0.5,
breaks = NULL, Kernels = NULL, ErrorMethod = "chisquare")
Arguments
Means |
Means of the GMM Components |
SDs |
Standard Deviations of the GMM Components |
Weights |
Weights of the GMM Components |
Data |
Empirical Data based on which the GMM is build |
rho |
Ratio of OverlappingError vs Fitting Error |
breaks |
vector containing the breaks between bins |
Kernels |
positions at which density is to be compared |
ErrorMethod |
"pdeerror": fitting error is measured through Pareto Density Estimation. "chisquare": fitting error is measured through the Chi Square fitting error. |
Value
Mixed Error
Author(s)
Florian Lerch
Examples
Data = c(rnorm(50,1,2), rnorm(50,3,4))
MixedDistributionError(c(1,3), c(2,4), c(0.5,0.5), Data = Data)
[Package DistributionOptimization version 1.2.6 Index]