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