KL.bmop: Kullback-Leibler (KL) divergence between bmop and true...

In gherardovarando/Rbmop: B-spline MoPs densities and conditional densities

Description

Kullback-Leibler (KL) divergence between bmop and true density

Usage

KL.bmop(object, dtrue, ...)

Arguments

object	bmop object
dtrue	function
...	optional arguments to be passed to dtrue

Value

Numeric, the KL divergence.

Examples

data<-rnorm(200)
bmop1<-bmop_fit(data)
bmopPar(mle=TRUE)
bmop2<-bmop_fit(data)
KL.bmop(bmop1,dtrue=dnorm)
KL.bmop(bmop2,dtrue=dnorm)

gherardovarando/Rbmop documentation built on May 17, 2019, 4:17 a.m.