The HPLOGISTIC Procedure

PROC HPLOGISTIC Features

The HPLOGISTIC procedure estimates the parameters of a logistic regression model by using maximum likelihood techniques. It also does the following:

  • provides model-building syntax with the CLASS and effect-based MODEL statements, which are familiar from SAS/STAT analytic procedures (in particular, the GLM, LOGISTIC, GLIMMIX, and MIXED procedures)

  • 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 that contains predicted probabilities and other observationwise statistics

Because the HPLOGISTIC procedure is a high-performance statistical procedure, it also does the following:

  • 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 more information, see the section Processing Modes.