npgeom: Class `npgeom`

Description

Class npgeom is used to store data that will be processed as those of a nonparametric geometric mixture.

Function npgeom creates an object of class npgeom, given values and weights/frequencies.

Function rnpgeom generates a random sample from a geometric mixture and saves the data as an object of class npgeom.

Function dnpgeom is the density function of a Poisson mixture.

Function pnpgeom is the distribution function of a Poisson mixture.

Usage

npgeom(v, w=1, grouping=FALSE)
rnpgeom(n, mix=disc(0.5))
dnpgeom(x, mix=disc(0.5), log=FALSE)
pnpgeom(x, mix=disc(0.5), lower.tail=TRUE, log.p=FALSE)

Arguments

v: a numeric vector that stores the values of a sample.
w: a numeric vector that stores the corresponding weights/frequencies of the observations.
grouping: logical, whether or not use frequencies (w) for identical values.
n: the sample size.
x: an object of class npgeom.
mix: an object of class disc.
log,: =FALSE, if log-values are to be returned.
lower.tail,: =FALSE, if lower.tail values are to be returned.
log.p,: =FALSE, if log probability values are to be returned.

Author

Yong Wang <yongwang@auckland.ac.nz>

References

Wang, Y. (2007). On fast computation of the non-parametric maximum likelihood estimate of a mixing distribution. Journal of the Royal Statistical Society, Ser. B, 69, 185-198.

Examples

Run this code


mix = disc(pt=c(0.2,0.5), pr=c(0.3,0.7))
(x = rnpgeom(200, mix))
dnpgeom(x, mix)
pnpgeom(x, mix)