mda.start {mda} | R Documentation |
mda.start(x, g, subclasses = 3, trace.mda.start = FALSE, start.method = c("kmeans", "lvq"), tries = 5, criterion = c("misclassification", "deviance"), ...)
x |
The x data, or an mda object |
g |
The response vector g |
subclasses |
number of subclasses per class, as in mda. |
trace.mda.start |
Show results of each iteration |
start.method |
Either "kmeans" or "lvq". The latter requires the statlib contribution "classif". |
tries |
Number of random starts |
criterion |
By default, classification errors on the training data. Posterior deviance is also an option. |
A list of weight matrices, one for each class