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The forestCode action generates SAS DATA step scoring code from a trained forest...
The getLicenseInfo action shows the license information for a SAS product. This ...
The logisticCode action writes SAS DATA step code that can be used to compute pr...
Polynomial effects are specified using the polynomial parameter, which accepts a list of polynomial structures. Each structure defines degree, details (True/False), labelStyle, mDegree, name (required), noSeparate, standardize, and vars (required list of variable names).
when set to True, missing values are allowed as group-by keys. Default FALSE
The bart.bartGauss action fits Bayesian additive regression trees (BART) models to normally distributed response data.
Specifies a global minimum value.
Names the predicted value. If you do not specify any output statistics, then by default the predicted value is named _PRED_. Aliases: p, predicted, iLink, mean.