SAS 9.4 Output Delivery System, 3rd Edition

Table Name Description Statement Option

SimpleStatistics Simple statistics for

input variables

PROC Default

VariableStat Statistics for

variables within

clusters

PROC Default

Table A1.29 ODS Table Names Produced by the FMM Procedure

Table Name Description

Required Statement and

Option

AutoCorr Autocorrelation among

posterior estimates

BAYES

BayesInfo Basic information about

Bayesian estimation

BAYES

ClassLevels Level information from the

Statement

CLASS

CompDescription ComponentDescription in

models with varying number

of components

KMAX= in MODEL with

ML estimation

CompEvaluation Comparison of mixture

models with varying number

of components

KMAX= in MODEL with

ML estimation

CompInfo Component information COMPONENTINFO option

in PROC FMM statement

ConvergenceStatus Status of optimization at

conclusion of optimization

Default output

Constraints Linear equality and inequality

constraints

RESTRICT statement or

EQUATE= EFFECTS option

in MODEL statement

Corr Asymptotic correlation matrix

of parameter estimates (ML)

or empirical correlation

matrix of the Bayesian

posterior estimates

CORR option in PROC FMM

statement

924 Appendix 1 • Output Object Table Names

Table Name Description

Required Statement and

Option

Cov Asymptotic covariance matrix

of parameter estimates (ML)

or empirical covariance

matrix of the Bayesian

posterior estimates

COV option in PROC FMM

statement

CovI Inverse of the covariance

matrix of the parameter

estimates

COVI option in PROC FMM

statement

ESS Effective sample sizes BAYES

FitStatistics Fit statistics Default output

Geweke Geweke diagnostics for

Markov chains

DIAG=GEWEKE option in

BAYES statement

Heidelberger Heidelberger and Welch

diagnostics for Markov

chains

DIAG=HEIDELBERGER

option in BAYES statement

Hessian Hessian matrix from the

maximum likelihood

optimization, evaluated at the

converged estimates

HESSIAN

IterHistory Optimizer iteration history Default output for maximum

likelihood estimation;

included in Bayesian

estimation when BAYES

statement includes the

INITIAL= MLE option and

PROC FMM statement

includes the FITDETAILS

option

MCSE Monte Carlo standard errors DIAG=MCERROR in

BAYES statement

MixingProbs Solutions for the parameter

estimates associated with

effects in statements

Default output for ML

estimation if number of

components is greater than 1

ModelInfo Model information Default output

NObs Number of observations read

and used, number of trials and

events

Default output

OptInfo Optimization information Default output for ML

estimation

ODS Table Names and the SAS/STAT Procedures That Produce Them 925

Table Name Description

Required Statement and

Option

ParameterEstimates Solutions for the parameter

estimates associated with

effects in statements

Default output for ML

estimation

ParameterMap Mapping of parameter names

to data set

OUTPOST= option in

BAYES statement

PriorInfo Prior distributions and initial

value of Markov chain

BAYES

PostSummaries Summary statistics for

posterior estimates

BAYES

PostIntervals Equal-tail and highest

posterior density intervals for

posterior estimates

BAYES

Raftery Raftery and Lewis

diagnostics for Markov

chains

DIAG=RAFTERY option in

BAYES statement

ResponseProfile Response categories and

category modeled

Default output in models with

binary response

Table A1.30 ODS Table Names Produced by the GAM Procedure

Table Name Description Statement Option

ANODEV Analysis of deviance

table for smoothing

variables

PROC Default

ClassSummary Summary of

classification

variables

PROC Default

ConvergenceStatus Convergence status

of the local scoring

algorithm

PROC Default

InputSummary Input data summary PROC Default

IterHistory Iteration history table MODEL ITPRINT

IterSummary Iteration summary PROC Default

926 Appendix 1 • Output Object Table Names

Table Name Description Statement Option

FitSummary Fit parameters and fit

summary

PROC Default

ParameterEstimates Parameter estimation

for regression

variables

PROC Default

ResponseProfile Frequency counts for

binary models

MODEL DIST=BINOMIAL

Table A1.31 ODS Table Names Produced by the GENMOD Procedure for a Classical

Analysis

Table Name Description Statement Option

AssessmentSummary Model assessment

summary

ASSESS Default

ClassLevels Classification

variable levels

CLASS Default

Contrasts Tests of contrasts CONTRAST Default

ContrastCoef Contrast coefficients CONTRAST E

ConvergenceStatus Convergence status MODEL Default

CorrB Parameter estimate

correlation matrix

MODEL CORRB

CovB Parameter estimate

covariance matrix

MODEL COVB

Estimates Estimates of contrasts ESTIMATE Default

EstimateCoef Contrast coefficients ESTIMATE E

GEEEmpPEst GEE parameter

estimates with

empirical standard

errors

REPEATED Default

GEEExchCorr GEE exchangeable

working correlation

value

REPEATED TYPE=EXCH

GEEFitCriteria GEE QIC fit criteria REPEATED Default

ODS Table Names and the SAS/STAT Procedures That Produce Them 927

Table Name Description Statement Option

GEELogORInfo GEE log odds ratio

model information

REPEATED LOGOR=

GEEModInfo GEE model

information

REPEATED Default

GEEModPEst GEE parameter

estimates with

model-based standard

errors

REPEATED MODELSE

GEENCorr GEE model-based

correlation matrix

REPEATED MCORRB

GEENCov GEE model-based

covariance matrix

REPEATED MCOVB

GEERCorr GEE empirical

correlation matrix

REPEATED ECORRB

GEERCov GEE empirical

covariance matrix

REPEATED ECOVB

GEEWCorr GEE working

correlation matrix

REPEATED CORRW

IterContrasts Iteration history for

contrasts

MODEL

CONTRAST

ITPRINT

IterLRCI Iteration history for

likelihood ratio

confidence intervals

MODEL LRCI ITPRINT

IterParms Iteration history for

parameter estimates

MODEL ITPRINT

IterParmsGEE Iteration history for

GEE parameter

estimates

MODEL

REPEATED

ITPRINT

IterType3 Iteration history for

Type 3 statistics

MODEL TYPE3 ITPRINT

LRCI Likelihood ratio

confidence intervals

MODEL LRCI ITPRINT

Coef Coefficients for least

squares means

LSMEANS E

Diffs Least squares means

differences

LSMEANS DIFF

928 Appendix 1 • Output Object Table Names