mixcombine function

Combine Mixture Distributions

Combining mixture distributions of the same class to form a new mixture.

mixcombine(..., weight, rescale = TRUE)

Arguments

• ...: arbitrary number of mixtures with same distributional class. Each component with values of mixture weight and model parameters.
• weight: relative weight for each component in new mixture distribution. The vector must be of the same length as input mixtures components. The default value gives equal weight to each component.
• rescale: boolean value indicates if the weights are rescaled to sum to 1.

Returns

A R-object with the new mixture distribution.

Details

Combines mixtures of the same class of random variable to form a new mixture distribution.

Examples

# beta with two informative components
bm <- mixbeta(inf = c(0.5, 10, 100), inf2 = c(0.5, 30, 80))

# robustified with mixcombine, i.e. a 10% uninformative part added
unif <- mixbeta(rob = c(1, 1, 1))
mixcombine(bm, unif, weight = c(9, 1))

See Also

robustify

Other mixdist: mix, mixbeta(), mixgamma(), mixmvnorm(), mixnorm(), mixplot