function to transform discrete or mixture of discrete and continuous datasets to continuous datasets with marginal normal(0,1).
Gtrans(data, cl = NULL, VariableSelection = FALSE, p_threshold = 0.05, ...)A transformed continuous dataset with the same copula as the input dataset and margianl normal(0,1).
The dataset to be transforms. The dataset can be discretein all columns, continuous in all columns or a mixture of continuous columns and discrete columns.
The class information of the dataset. This is not required when VariableSelection = FALSE.
Logical. If true, anova will be performed to each variable to see whether there is a difference among groups for that variable. The varaible associated with Bonferroni adjusted p-value larger than a threshold will be removed.
The threshold for adjusted p-value in variable selection when VariableSelection = TRUE.
Additional arguments passed to internal functions.