FLXMCregnorm_defaults {flexord} | R Documentation |
Data-Driven Default Parameters for Regularized Normal Mixtures
Description
Determines the default values for regularized univariate normal mixtures as proposed by Fraley and Raftery (2007) based on the data set to be clustered and the number of components in the mixture model.
Usage
FLXMCregnorm_defaults(x, zeta_p = NULL, kappa_p = 0.01, nu_p = 3, k = NULL)
Arguments
x |
The data set to be clustered. Should be the same data set
as is used in |
zeta_p |
Scale (hyperparameter for IG prior). If not given the empirical variance divided by the square of the number of components is used as per Fraley and Raftery (2007).
A value for the scale hyperparameter |
kappa_p |
Shrinkage parameter. Corresponds to adding |
nu_p |
Degress of freedom (hyperparameter for IG prior) |
k |
Number of components assumed for the mixture model (not
used if |
Value
A named list with values for mu_p
, kappa_p
, nu_p
and zeta_p
.