HPCOUNTREG Procedure

Functional Summary

Table 1 summarizes the statements and options used with the HPCOUNTREG procedure.

Table 1: Functional Summary

Description Statement Option
Data Set Options
Specifies the input data set HPCOUNTREG DATA=
Specifies the identification variable for panel data analysis HPCOUNTREG GROUPID=
Writes parameter estimates to an output data set HPCOUNTREG OUTEST=
Writes estimates to an output data set OUTPUT OUT=
Specifies BY-group processing BY
Specifies an optional frequency variable FREQ
Specifies an optional weight variable WEIGHT
Printing Control Options
Prints the correlation matrix of the estimates HPCOUNTREG CORRB
Prints the covariance matrix of the estimates HPCOUNTREG COVB
Suppresses the normal printed output HPCOUNTREG NOPRINT
Requests all printing options HPCOUNTREG PRINTALL
Options to Control the Optimization Process
Specifies maximum number of iterations allowed HPCOUNTREG MAXITER=
Selects the iterative minimization method to use HPCOUNTREG METHOD=
Specifies maximum number of iterations allowed HPCOUNTREG MAXITER=
Specifies maximum number of function calls HPCOUNTREG MAXFUNC=
Specifies the upper limit of CPU time in seconds HPCOUNTREG MAXTIME=
Specifies absolute function convergence criterion HPCOUNTREG ABSCONV=
Specifies absolute function convergence criterion HPCOUNTREG ABSFCONV=
Specifies absolute gradient convergence criterion HPCOUNTREG ABSGCONV=
Specifies relative function convergence criterion HPCOUNTREG FCONV=
Specifies relative gradient convergence criterion HPCOUNTREG GCONV=
Specifies absolute parameter convergence criterion HPCOUNTREG ABSXCONV=
Specifies matrix singularity criterion HPCOUNTREG SINGULAR=
Sets boundary restrictions on parameters BOUNDS
Sets initial values for parameters INIT
Sets linear restrictions on parameters RESTRICT
Model Estimation Options
Specifies the dispersion variables DISPMODEL
Specifies the type of model HPCOUNTREG DIST=
Specifies the type of covariance matrix HPCOUNTREG COVEST=
Specifies the type of error components model for panel data MODEL ERRORCOMP=
Suppresses the intercept parameter MODEL NOINT
Specifies the offset variable MODEL OFFSET=
Specifies the parameterization for the Conway-Maxwell-Poisson (CMP) model MODEL PARAMETER=
Specifies the zero-inflated offset variable ZEROMODEL OFFSET=
Specifies the zero-inflated link function ZEROMODEL LINK=
Output Control Options
Includes covariances in the OUTEST= data set HPCOUNTREG COVOUT
Includes correlations in the OUTEST= data set HPCOUNTREG CORROUT
Outputs SAS variables to the output data set OUTPUT COPYVAR=
Outputs the estimates of dispersion for the CMP model OUTPUT DISPERSION
Outputs the estimates of GDelta equals bold g prime Subscript i Baseline bold-italic delta for the CMP model OUTPUT GDELTA=
Outputs the estimates of lamda for the CMP model OUTPUT LAMBDA=
Outputs the estimates of nu for the CMP model OUTPUT NU=
Outputs the estimates of mu for the CMP model OUTPUT MU=
Outputs the estimates of mode for the CMP model OUTPUT MODE=
Outputs the probability that the response variable will take the current value OUTPUT PROB=
Outputs probabilities for particular response values OUTPUT PROBCOUNT( )
Outputs expected value of response variable OUTPUT PRED=
Outputs the estimates of variance for the CMP model OUTPUT VARIANCE=
Outputs estimates of XBeta equals bold x prime Subscript i Baseline bold-italic beta OUTPUT XBETA=
Outputs estimates of ZGamma equals bold z prime Subscript i Baseline bold-italic gamma OUTPUT ZGAMMA=
Outputs probability of a zero value as a result of the zero-generating process OUTPUT PROBZERO=
Performance Options
Requests a table that shows a timing breakdown PERFORMANCE DETAILS
Specifies the number of threads to use PERFORMANCE NTHREADS=


Last updated: June 19, 2025