Obtain predicted class for new data from baggtree function or PPforest
trees_pred(object, xnew, parallel = FALSE, cores = 2, rule = 1)predicted values from PPforest or baggtree
Projection pursuit classification forest structure from PPforest or baggtree
data frame with explicative variables used to get new predicted values.
logical condition, if it is TRUE then parallelize the function
number of cores used in the parallelization
Split rule used in classification (integer from 1 to 8). 1: mean of two group means 2: weighted mean of two group means - weight with group size 3: weighted mean of two group means - weight with group sd 4: weighted mean of two group means - weight with group se 5: mean of two group medians 6: weighted mean of two group medians - weight with group size 7: weighted mean of two group median - weight with group IQR 8: weighted mean of two group median - weight with group IQR and size