| fmx-class | R Documentation |
An S4 object to specify the parameters and type of distribution of a one-dimensional finite mixture distribution.
distnamecharacter scalar,
name of parametric distribution of the mixture components.
Currently, normal ('norm') and Tukey g-&-h ('GH') distributions are supported.
parsdouble matrix,
all distribution parameters in the mixture.
Each row corresponds to one component. Each column includes the same parameters of all components.
The order of rows corresponds to the (non-strictly) increasing order of the component location parameters.
The columns match the formal arguments of the corresponding distribution,
e.g., 'mean' and 'sd' for normal mixture,
or 'A', 'B', 'g' and 'h' for Tukey g-&-h mixture.
wnumeric vector of mixing proportions that must sum to 1
data(optional) numeric vector, the one-dimensional observations
data.name(optional) character scalar, a human-friendly name of the observations
vcov_internal(optional) variance-covariance matrix of the internal (i.e., unconstrained) estimates
vcov(optional) variance-covariance matrix of the mixture distribution (i.e., constrained) estimates
Kolmogorov,CramerVonMises,KullbackLeibler(optional) numeric scalars
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