Description Usage Arguments Value Examples
This function computes the log-likelihood within a Tweedie Bayesian network for a given data set.
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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. |
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).
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