The HPDECIDE Procedure

The HPDECIDE procedure creates optimal decisions that are based on a decision matrix that you specify, on prior probabilities, and on output from a modeling procedure. This output can be either posterior probabilities for a categorical target variable or predicted values for an interval target variable. The HPDECIDE procedure can also adjust the posterior probabilities for changes in the prior probabilities.

Some modeling procedures assume that the prior probabilities for categorical variable level membership either are all equal or are proportional to the relative frequency of the corresponding response level in the data set. PROC HPDECIDE enables you to specify other prior probabilities. Thus, you can conduct a sensitivity analysis without running the modeling procedure again.

Because the HPDECIDE procedure is a high-performance analytical procedure, it also exploits all the available cores and concurrent threads.