Canonical_Mixture_Distribution | R Documentation |
A class that represents a univariate mixture of different instances of a canonical distribution (the same distribution, but with different parameters)
name
A short, descriptive name for the distribution
n.components
The number of component distributions in this mixture
weights
The weights for the component distributions in the mixture (sum(weights)=1)
density.function.name,cdf.function.name,quantile.function.name
Names of the (elsewhere defined) functions that calculate density, cdf, and quantiles (eg 'dnorm', 'pnorm', and 'qnorm)
parameters
A list of vectors; each element of the list represents a parameter to the distribution, and the values of the vector represent the parameter values for each component of the mixture
p.in.bounds,log.p.in.bounds
A vector cumulative probabilities and of the log cumulative probabilities between the lower and upper bounds for each component of the mixture
p.lower.bound
A vector of values of the cdf evaluated at the lower bound for each components of the distribution
transformation
An object of class transformation, defining the transformation applied to the variable before applying the distribution (eg, )
means,variances
If known, the means and variances of each component of the distribution. May be NA
The family of functions that create specific mixture distributions, such as normal.mixture
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