dmixtruncnorm: Probability density function of a mixture of truncated...

In Yorkee2018/LPsmooth: LP Smoothed Inference and Graphics

Description

Computes the probability density function of a mixture of truncated normals.

Usage

dmixtruncnorm(x, pis, means, sds, range)

Arguments

x	A scalar or vector of real values.
pis	A vector collecting the mixture weights. See details.
means	A vector collecting the means of the mixture components.
sds	A vector collecting the standard deviations of the mixture components.
range	Interval corresponding to the support of each of truncated normal contributing to the mixture. See details.

Details

The argument pis is a vector with its length equal the number of components in the mixture. The vector pis must sum up to one, e.g. c(0.7, 0.2, 0.1). The argument range is an interval corresponding to the support of each truncated normal contributing to the mixture. In other words, all the truncated normals contributing to the mixture are assumed to have the same range.

Value

Value of the probability density function of the mixture of normals evaluated at x.

Author(s)

Sara Algeri and Xiangyu Zhang

See Also

rmixtruncnorm, dmixnegbinom, rmixnegbinom, find_h_cont

Examples

xx<-seq(0,30,length=10)
dmixtruncnorm(xx,pis=c(0.3,0.6,0.1),means=c(3,6,25),sds=c(3,4,10),range=c(0,30))

Yorkee2018/LPsmooth documentation built on June 5, 2020, 12:32 a.m.