ll.tbn: Compute the log-likelihood within a Tweedie Bayesian network.

In km20/tbn: Tweedie Bayesian Network

Description

This function computes the log-likelihood within a Tweedie Bayesian network for a given data set.

Usage

ll.tbn(beta, phi, p, X)

Arguments

beta	a matrix of the Tweedie Bayesian network coefficients.
phi	a vector of dispersion parameters.
p	a vector of power parameters.
X	a data frame containing the variables in the model.

Value

This function returns a named list consisting of the Tweedie Bayesian network scores: Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Normalized Root Mean Squared Error (NRMSE) and the log-likelihood (ll).

Examples

## Not run: 
ll.tbn(beta, phi, p, X)

## End(Not run)

km20/tbn documentation built on May 29, 2019, 11:44 a.m.