nppois: Class 'nppois'

In nspmix: Nonparametric and Semiparametric Mixture Estimation

Description

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

Usage

nppois(v, w=1)
rnppois(n, mix=disc(1))
## S3 method for class 'nppois'
plot(x, mix, beta, col="red", add=FALSE,
    components=TRUE, main="nppois", lwd=1, lty=1, xlab="Data",
    ylab="Density", ...)

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.
n	the sample size.
x	an object of class nppois.
mix	an object of class disc.
beta	the structural parameter, which is not really needed for the Poisson mixture.
col	the color of the density curve to be plotted.
add	if FALSE, creates a new plot; if TRUE, adds the plot to the existing one.
components	if TRUE, also show the support points and mixing proportions.
main, lwd, lty, xlab, ylab	arguments for graphical parameters (see par).
...	arguments passed on to function plot.

Details

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

Function rnppois generates a random sample from a Poisson mixture and saves the data as an object of class nppois.

Function plot.nppois plots the Poisson mixture.

When components=TRUE, the support points are shown on the horizontal line of density 0. The component density curves, weighted appropriately, are also shown.

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(1,4), pr=c(0.3,0.7))
x = rnppois(200, mix)
plot(x, mix)

nspmix documentation built on Oct. 23, 2020, 6:46 p.m.