plot.npnbinom: Plotting a nonparametric negative binomial mixture

In nspmix: Nonparametric and Semiparametric Mixture Estimation

Plotting a nonparametric negative binomial mixture

Description

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

Usage

## S3 method for class '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(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))  # a discrete distribution
x = rnpnbinom(200, 10, mix)
plot(x, mix)
 

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