CDGRNs
Documentation for CDGRNs.
CDGRNs.aic
— Methodaic(model[, X, y])
Akaike information criterion of a mixture model.
Returns Akaike information criterion values. If X, y are not given, AIC is evaluated by training data.
CDGRNs.bic
— Methodbic(model[, X, y])
Bayesian information criterion of a mixture model.
Returns Bayesian information criterion values. If X, y are not given, BIC is evaluated by training data.
CDGRNs.membership
— Methodmembership(model::GMR[, k_component], X)
Return the probability of membership for an observation.
CDGRNs.nll
— Methodnll(model, X, y)
Negative log likelihood for a model.
Returns negative log likelihood for a linear regression model, which are evaluated by data.
CDGRNs.partial_corr
— MethodReturn ρxy|z