nspmix (version 2.0-0)

plot.nppois: Plotting a nonparametric Poisson mixture

Description

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

Usage

# S3 method for 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

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)