The HPCOUNTREG Procedure

PROC HPCOUNTREG Features

The HPCOUNTREG procedure estimates the parameters of a count regression model by maximum likelihood techniques. The following list summarizes some basic features of the HPCOUNTREG procedure:

  • can perform analysis on a massively parallel high-performance appliance

  • reads input data in parallel and writes output data in parallel when the data source is the appliance database

  • is highly multithreaded during all phases of analytic execution

  • performs maximum likelihood estimation

  • supports multiple link functions

  • uses the WEIGHT statement for weighted analysis

  • uses the FREQ statement for grouped analysis

  • uses the OUTPUT statement to produce a data set that contains predicted probabilities and other observationwise statistics