Combine Mixture Distributions
Combining mixture distributions of the same class to form a new mixture.
mixcombine(..., weight, rescale = TRUE)
... |
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. |
Combines mixtures of the same class of random variable to form a new mixture distribution.
A R-object with the new mixture distribution.
# 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))
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