The following features have been added to the HPSEVERITY procedure:
The HPSEVERITY procedure now supports the BY statement in the single-machine mode of execution. For the distributed mode, the BY statement is supported only in the client-data (or local-data) mode of the distributed computing model.
The HPSEVERITY procedure now supports a new OFFSET= option in the SCALEMODEL statement to specify an offset variable in the scale regression model. An offset variable is a regressor that has a fixed regression coefficient of 1. An offset variable is useful for modeling the scale parameter per unit of some measure of exposure and for correcting the omitted variable bias.
The HPSEVERITY procedure now supports a new OUTSCORELIB statement to create scoring functions. A scoring function is derived from a distribution function such that the parameter estimates of a fitted severity model are encoded inside the scoring function. You can use a scoring function to evaluate the corresponding distribution function without having to write a potentially complex SAS program to extract the parameter estimates. If you have specified a scale regression model, then you can use the scoring functions to score new observations by easily computing various statistics of interest, such as the mean and quantiles that depend on the regressor data. Note: This is an experimental feature.
The specification of custom objective function was an experimental feature in previous releases. It is now production.