npnbinom: Class 'npnbinom'

In nspmix: Nonparametric and Semiparametric Mixture Estimation

Class npnbinom

Description

Class npnbinom is used to store data that will be processed as those of a nonparametric negative binomial mixture.

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

Function rnpnbinom generates a random sample from a negative binomial mixture and saves the data as an object of class npnbinom.

Usage

npnbinom(v, w=1, size, grouping=TRUE)
rnpnbinom(n, size, mix=disc(0.5))
dnpnbinom(x, mix=disc(0.5), size=NULL, log=FALSE)
pnpnbinom(x, mix=disc(0.5), size=NULL, 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.
size	number of successful trials (ignored if x is an object of class npnbinom).
grouping	logical, to use frequencies (w) for identical values
n	the sample size.
x	an object of class npnbinom, or a numeric vector (then value of size must be provided).
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(s)

Yong Wang <[e-mail]>

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.

See Also

nnls, cnm, cnmms, plot.nspmix.

Examples

mix = disc(pt=c(0.2,0.5), pr=c(0.3,0.7))
(x = rnpnbinom(200, size=10, mix))
dnpnbinom(x, mix, size=10)
pnpnbinom(x, mix, size=10)

nspmix documentation built on June 8, 2025, 12:29 p.m.