HPSEVERITY Procedure

Functional Summary

Table 1 summarizes the statements and options that control the HPSEVERITY procedure.

Table 1: Functional Summary

Description Statement Option
Statements
Specifies BY-group processing BY
Specifies the response variable to model along with censoring and truncation effects LOSS
Specifies the weight variable WEIGHT
Specifies the classification variables CLASS
Specifies the regression effects to model SCALEMODEL
Specifies distributions to fit DIST
Specifies the scoring functions and quantiles to write OUTPUT
Specifies the library to write scoring functions to OUTSCORELIB
Specifies optimization options NLOPTIONS
Specifies performance options PERFORMANCE
Specifies programming statements that define an objective function Programming statements
Input and Output Options
Specifies that the OUTEST= data set contain covariance estimates PROC HPSEVERITY COVOUT
Specifies the input data set PROC HPSEVERITY DATA=
Specifies the input data set for parameter estimates PROC HPSEVERITY INEST=
Specifies the input item store for parameter initialization PROC HPSEVERITY INSTORE=
Limits the length of effect names PROC HPSEVERITY NAMELEN=
Specifies the output data set for estimates of scoring functions and quantiles OUTPUT OUT=
Specifies the output data set for CDF estimates PROC HPSEVERITY OUTCDF=
Specifies the output data set for parameter estimates PROC HPSEVERITY OUTEST=
Specifies the output data set for model information PROC HPSEVERITY OUTMODELINFO=
Specifies the output data set for statistics of fit PROC HPSEVERITY OUTSTAT=
Specifies the output item store for context and estimation results PROC HPSEVERITY OUTSTORE=
Data Interpretation Options
Specifies left-censoring LOSS LEFTCENSORED=
Specifies left-truncation LOSS LEFTTRUNCATED=
Specifies the probability of observability LOSS PROBOBSERVED=
Specifies right-censoring LOSS RIGHTCENSORED=
Specifies right-truncation LOSS RIGHTTRUNCATED=
Model Estimation Options
Specifies the model selection criterion PROC HPSEVERITY CRITERION=
Specifies the method for computing mixture distribution SCALEMODEL DFMIXTURE=
Specifies initial values for model parameters DIST INIT=
Specifies the objective function symbol PROC HPSEVERITY OBJECTIVE=
Specifies the offset variable in the scale regression model SCALEMODEL OFFSET=
Specifies the denominator for computing covariance estimates PROC HPSEVERITY VARDEF=
Empirical Distribution Function (EDF) Estimation Options
Specifies the confidence level for reporting the confidence interval for EDF estimates PROC HPSEVERITY EDFALPHA=
Specifies the nonparametric method of CDF estimation PROC HPSEVERITY EMPIRICALCDF=
Specifies the sample to be used for computing the EDF estimates PROC HPSEVERITY INITSAMPLE
EMPIRICALCDF=MODIFIEDKM Options
Specifies the alpha value for the lower bound on risk set size PROC HPSEVERITY ALPHA=
Specifies the c value for the lower bound on risk set size PROC HPSEVERITY C=
Specifies the absolute lower bound on risk set size PROC HPSEVERITY RSLB=
EMPIRICALCDF=TURNBULL Options
Specifies that the final EDF estimates be maximum likelihood estimates PROC HPSEVERITY ENSUREMLE
Specifies the relative convergence criterion PROC HPSEVERITY EPS=
Specifies the maximum number of iterations PROC HPSEVERITY MAXITER=
Specifies the threshold below which an EDF estimate is deemed to be 0 PROC HPSEVERITY ZEROPROB=
OUT= Data Set Generation Options
Specifies the variables to copy from the DATA= data set to the OUT= data set OUTPUT COPYVARS=
Specifies the scoring functions to estimate OUTPUT FUNCTIONS=
Specifies the quantiles to estimate OUTPUT QUANTILES=
Scoring Function Generation Options
Specifies that scoring functions of all models be written to one package OUTSCORELIB COMMONPACKAGE
Specifies the output data set for BY-group identifiers OUTSCORELIB OUTBYID=
Specifies the output library for scoring functions OUTSCORELIB OUTLIB=
Displayed Output and Plotting Options
Specifies that distributions be listed to the log without estimating any models that use them DIST LISTONLY
Limits or suppresses the display of class levels PROC HPSEVERITY NOCLPRINT
Suppresses all displayed and graphical output PROC HPSEVERITY NOPRINT
Specifies which graphical output to prepare PROC HPSEVERITY PLOTS=
Specifies which output to display PROC HPSEVERITY PRINT=
Specifies that distributions be validated without estimating any models that use them DIST VALIDATEONLY


Last updated: June 19, 2025