tuning_general_gamma {pvEBayes} | R Documentation |
Select hyperparameter alpha and obtain the optimal general-gamma model based on AIC and BIC
Description
Select hyperparameter alpha and obtain the optimal general-gamma model based on AIC and BIC
Usage
tuning_general_gamma(
contin_table,
alpha_vec = NULL,
return_all_fit = FALSE,
return_all_AIC = TRUE,
return_all_BIC = TRUE
)
Arguments
contin_table |
an IxJ contingency table showing pairwise counts of adverse events for I AEs (along the rows) and J drugs (along the columns). |
alpha_vec |
vector of hyperparameter alpha values to be selected. Alpha is hyperparameter in general-gamma model which is numeric and between 0 and 1. If is NULL, a default set of alpha values (0, 0.1, 0.3, 0.5, 0.7, 0.9) will be used. |
Value
a list of fitted models with hyperparameter alpha selected by AIC or BIC.
References
Akaike H. A new look at the statistical model identification. IEEE Transactions on Automatic Control.
2003; 19(6):716-23.
Schwarz G. Estimating the dimension of a model. The Annals of Statistics. 1978; 1:461-4.
[Package pvEBayes version 0.1.1 Index]