The QLIM Procedure

ODS Table Names

PROC QLIM assigns a name to each table it creates. You can use these names to denote the table when using the Output Delivery System (ODS) to select tables and create output data sets. These names are listed in the Table 29.11.

Table 29.11: ODS Tables Produced in PROC QLIM by the MODEL Statement and TEST Statement

ODS Table Name

Description

Option

ODS Tables Created by the MODEL Statement and TEST Statement

ResponseProfile

Response profile

default

ClassLevels

Class levels

default

FitSummary

Summary of nonlinear estimation

default

GoodnessOfFit

Pseudo-R-square measures

default

ConvergenceStatus

Convergence status

default

ParameterEstimates

Parameter estimates

default

SummaryContResponse

Summary of continuous response

default

CovB

Covariance of parameter estimates

COVB

CorrB

Correlation of parameter estimates

CORRB

FitSummaryHeckman1

Heckman First Step Model Fit Summary

HECKIT

FitSummaryHeckman2

Heckman Second Model Fit Summary

HECKIT

LinCon

Linear constraints

ITPRINT

InputOptions

Input options

ITPRINT

ProblemDescription

Problem description

ITPRINT

IterStart

Optimization start summary

ITPRINT

IterHist

Iteration history

ITPRINT

IterStop

Optimization results

ITPRINT

ConvergenceStatus

Convergence status

ITPRINT

ParameterEstimatesStart

Optimization start

ITPRINT

ParameterEstimatesResults

Resulting parameters

ITPRINT

LinConSol

Linear constraints evaluated at solution

ITPRINT

VariableSelection

Variable selection summary

SELECTVAR

ODS Tables Created by the TEST Statement

TestResults

Test results

default

ODS Tables Created by the BAYES Statement

AutoMcmcSummary

Automatic MCMC summary

DIAGNOSTICS=AUTOSUM

AutoCorr

Autocorrelation statistics for each parameter

default

Corr

Correlation matrix of the posterior samples

STATS=COR

Cov

Covariance matrix of the posterior samples

STATS=COV

ESS

Effective sample size for each parameter

Default

MCSE

Monte Carlo standard error for each parameter

Default

Geweke

Geweke diagnostics for each parameter

Default

Heidelberger

Heidelberger-Welch diagnostics for each parameter

DIAGNOSTICS=HEIDEL

LogMarginLike

Marginal likelihood

MARGINLIKE

PostIntervals

Equal-tail and HPD intervals for each parameter

Default

PosteriorSample

Posterior samples

(ODS output data set only)

PostSummaries

Posterior summaries

default

PriorSample

Prior samples used for prior predictive analysis

(ODS output data set only)

PriorSummaries

Prior summaries

STATS=PRIOR

Raftery

Raftery-Lewis diagnostics for each parameter

DIAGNOSTICS=RAFTER