plot.nppois: Plotting a nonparametric Poisson mixture

In nspmix: Nonparametric and Semiparametric Mixture Estimation

Plotting a nonparametric Poisson mixture

Description

Function plot.nppois plots a Poisson mixture, along with data.

Usage

## S3 method for class 'nppois'
plot(
  x,
  mix,
  beta,
  col = 2,
  add = FALSE,
  components = c("proportions", "curves", "null"),
  main = "nppois",
  lwd = 1,
  lty = 1,
  xlab = "Data",
  ylab = "Density",
  xlim = NULL,
  ...
)

Arguments

x	an object of class nppois.
mix	an object of class disc.
beta	the structural parameter (not used for a 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 proportions (default), also show the support points and mixing proportions (in proportional vertical lines); if curves, also show the component density curves; if null, components are not shown.
main, lwd, lty, xlab, ylab, xlim	arguments for graphical parameters (see par).
...	arguments passed on to function barplot.

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(0,4), pr=c(0.3,0.7))  # a discrete distribution
x = rnppois(200, mix)
plot(x, mix)
 

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