HPLOGISTIC Procedure
The HPLOGISTIC procedure is a high-performance statistical procedure that fits logistic regression models for binary, binomial, and multinomial data.
The following are highlights of the HPLOGISTIC procedure's features:
- provides model-building syntax with the CLASS and effect-based MODEL statements
- provides response-variable options as in the LOGISTIC procedure
- performs maximum likelihood estimation
- provides multiple link functions
- provides cumulative link models for ordinal data and generalized logit modeling for unordered multinomial data
- enables model building (variable selection) through the SELECTION statement
- provides a WEIGHT statement for weighted analysis
|
- provides a FREQ statement for grouped analysis
- provides an OUTPUT statement to produce a data set with predicted probabilities and other observationwise statistics
- enables you to run in distributed mode on a cluster of machines that distribute the data and the computations
- enables you to run in single-machine mode on the server where SAS is installed
- exploits all the available cores and concurrent threads, regardless of execution mode
- performs parallel reads of input data and parallel writes of output data when the data source is the appliance database
|
For further details see the HPLOGISTIC Procedure
Examples