dmix: Density function of a mixture distribution

In nspmix: Nonparametric and Semiparametric Mixture Estimation

Density function of a mixture distribution

Description

Computes the density or their logarithmic values of a mixture distribution, where the component family depends on the class of x.

x must belong to a mixture family, as specified by its class.

Usage

dmix(x, mix, beta = NULL, log = FALSE)

Arguments

x	a data object of a mixture model class.
mix	a discrete distribution, as defined by class disc.
beta	the structural parameter, if any.
log	if TRUE, computes the log-values, or else just the density values.

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.

Wang, Y. (2010). Maximum likelihood computation for fitting semiparametric mixture models. Statistics and Computing, 20, 75-86

See Also

cnm, cnmms, npnorm, nppois, disc,

Examples

## Poisson mixture
mix0 = disc(c(1,4), c(0.7,0.3))
x = rnppois(10, mix0)
dmix(x, mix0)
dmix(x, mix0, log=TRUE)

## Normal mixture
x = rnpnorm(10, mix0, sd=1)
dmix(x, mix0, 1)
dmix(x, mix0, 1, log=TRUE)
dmix(x, mix0, 0.5, log=TRUE)

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