Convenience alias for s.GLM(class.method = "multinom")
.
s.MULTINOM(x, y, x.test = NULL, y.test = NULL,
class.method = "multinom", ...)
Numeric vector or matrix / data frame of features i.e. independent variables
Numeric vector of outcome, i.e. dependent variable
Numeric vector or matrix / data frame of testing set features
Columns must correspond to columns in x
Numeric vector of testing set outcome
String: Define "logistic" or "multinom" for classification. The only purpose
of this is so you can try nnet::multinom
instead of glm for binary classification
Additional arguments