dmixnegbinom: Probability mass function of a mixture of negative binomials

In Yorkee2018/LPsmooth: LP Smoothed Inference and Graphics

Description

Computes the probability mass function of a mixture of the negative binomials.

Usage

dmixnegbinom(x, pis, size, probs)

Arguments

x	A scalar or vector of non-negative integer values.
pis	A vector collecting the mixture weights. See details.
size	A postive value corresponding to the target for number of successful trials.
probs	A vector collecting the probabilities of success for each mixture component.

Details

The argument pis is a vector with 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). All the negative binomials contributing to the mixture are assumed to have the same size.

Value

Value of the probability mass function of the mixture of negative binomials evaluated at x.

Author(s)

Xiangyu Zhang and Sara Algeri

See Also

rmixtruncnorm, dmixtruncnorm, rmixnegbinom, find_h_disc.

Examples

xx<-seq(0,30,length=31)
dmixnegbinom(xx,pis=c(0.3,0.6,0.1),size=25,probs=c(0.3,0.4,0.2))

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