CQLIM Procedure

PROC CQLIM Statement

  • PROC CQLIM < options > ;

The PROC CQLIM statement invokes the CQLIM procedure. You can specify the following options.

Data Table Options

DATA=libref.data-table

names the input data table for PROC CQLIM to use. The default is the most recently created data table. libref.data-table is a two-level name, where

libref

refers to a collection of information that is defined in the LIBNAME statement and includes the library, which includes a path to the data, and a session identifier, which defaults to the active session but which can be explicitly defined in the LIBNAME statement. For more information about libref, see the section Using CAS Sessions and CAS Engine Librefs.

data-table

specifies the name of the input data table.

Printing Options

CORRB

prints the correlation matrix of the parameter estimates.

COVB

prints the covariance matrix of the parameter estimates.

ITPRINT

prints the initial parameter estimates, convergence criteria, and all constraints of the optimization. At each iteration, the objective function value, step size, maximum gradient, and slope of search direction are also printed.

Model Estimation Options

COVEST=HESSIAN | OP | QML

specifies the method to use for calculating the covariance matrix of parameter estimates. You can specify the following covariance options:

HESSIAN

specifies the covariance from the inverse Hessian matrix.

OP

specifies the covariance from the outer product matrix.

QML

specifies the covariance from the outer product and Hessian matrices (the quasi-maximum likelihood estimates).

By default, COVEST=HESSIAN.

NDRAW=value

specifies the number of draws for Monte Carlo integration.

SEED=value

specifies a seed for pseudorandom number generation in Monte Carlo integration.

Optimization Control Options

PROC CQLIM uses the nonlinear optimization (NLO) subsystem to perform nonlinear optimization tasks. You can specify the following options:

MAXITER=i
MAXIT=i

specifies the maximum number of iterations in the optimization process. By default, MAXITER=200.

METHOD=CONGRA | DBLDOG | NEWRAP | NONE | NRRIDG | QUANEW | TRUREG

specifies the iterative minimization method to use. You can specify the following methods:

CONGRA

specifies the conjugate-gradient method.

DBLDOG

specifies the double-dogleg method.

NEWRAP

specifies the Newton-Raphson method.

NONE

specifies that no optimization be performed beyond using the ordinary least squares method to compute the parameter estimates.

NRRIDG

specifies the Newton-Raphson ridge method.

QUANEW

specifies the quasi-Newton method.

TRUREG

specifies the trust region method.

By default, METHOD=NEWRAP.

Last updated: July 09, 2026