loglik: Log-likelihood value of a mixture

In nspmix: Nonparametric and Semiparametric Mixture Estimation

Log-likelihood value of a mixture

Description

Computes the log-likelihood value

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

Usage

loglik(mix, x, beta = NULL, attr = FALSE)

Arguments

mix	a discrete distribution, as defined by class disc.
x	a data object of a mixture model class.
beta	the structural parameter, if any.
attr	=FALSE, by default. If TRUE, also returns attributes "dmix" and "logd"

Value

the log-likelihood value.

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)
loglik(mix0, x)

## Normal mixture
x = rnpnorm(10, mix0, sd=2)
loglik(mix0, x, 2)

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