nspmix (version 2.0-0)

plot.npnbinom: Plotting a nonparametric negative binomial mixture

Description

Function plot.npnbinom plots a negative binomial mixture, along with data.

Usage

# S3 method for npnbinom
plot(
  x,
  mix,
  beta,
  col = "red",
  add = FALSE,
  components = TRUE,
  main = "npnbinom",
  lwd = 1,
  lty = 1,
  xlab = "Data",
  ylab = "Density",
  ...
)

Arguments

x

an object of class npnbinom.

mix

an object of class disc.

beta

the structural parameter (not used for a negative binomial 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 (with vertical lines in proportion).

main, lwd, lty, xlab, ylab

arguments for graphical parameters (see par).

...

arguments passed on to function plot.

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(0.2,0.5), pr=c(0.3,0.7))  # a discrete distribution
x = rnpnbinom(200, 10, mix)
plot(x, mix)