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The GLIMMIX Procedure

ODS Table Names

Each table created by PROC GLIMMIX has a name associated with it, and you must use this name to reference the table when you use ODS statements. These names are listed in Table 38.20.

Table 38.20 ODS Tables Produced by PROC GLIMMIX

Table Name

Description

Required Statement / Option

AsyCorr

asymptotic correlation matrix of covariance parameters

PROC GLIMMIX ASYCORR

AsyCov

asymptotic covariance matrix of covariance parameters

PROC GLIMMIX ASYCOV

CholG

Cholesky root of the estimated matrix

RANDOM / GC

CholV

Cholesky root of blocks of the estimated matrix

RANDOM / VC

ClassLevels

level information from the CLASS statement

default output

Coef

matrix coefficients

E option in MODEL, CONTRAST, ESTIMATE, LSMESTIMATE, or LSMEANS; ELSM option in LSMESTIMATE

ColumnNames

name association for OUTDESIGN data set

PROC GLIMMIX
OUTDESIGN(NAMES)

CondFitStatistics

conditional fit statistics

PROC GLIMMIX
METHOD=LAPLACE

Contrasts

results from the CONTRAST statements

CONTRAST

ConvergenceStatus

status of optimization at conclusion

default output

CorrB

approximate correlation matrix of fixed-effects parameter estimates

MODEL / CORRB

CovB

approximate covariance matrix of fixed-effects parameter estimates

MODEL / COVB

CovBDetails

details about model-based and/or adjusted covariance matrix of fixed effects

MODEL / COVB(DETAILS)

CovBI

inverse of approximate covariance matrix of fixed-effects parameter estimates

MODEL / COVBI

CovBModelBased

model-based (unadjusted) covariance matrix of fixed effects if DDFM=KR or EMPIRICAL option is used

MODEL / COVB(DETAILS)

CovParms

estimated covariance parameters in GLMMs

default output (in GLMMs)

CovTests

results from COVTEST statements (except for confidence bounds)

COVTEST

Diffs

differences of LS-means

LSMEANS / DIFF (or PDIFF)

Dimensions

dimensions of the model

default output

Estimates

results from ESTIMATE statements

ESTIMATE

FitStatistics

fit statistics

default

G

estimated matrix

RANDOM / G

GCorr

correlation matrix from the estimated matrix

RANDOM / GCORR

Hessian

Hessian matrix (observed or expected)

PROC GLIMMIX HESSIAN

InvCholG

inverse Cholesky root of the estimated matrix

RANDOM / GCI

InvCholV

inverse Cholesky root of the blocks of the estimated matrix

RANDOM / VCI

InvG

inverse of the estimated matrix

RANDOM / GI

InvV

inverse of blocks of the estimated matrix

RANDOM / VI

IterHistory

iteration history

default output

kdTree

k-d tree information

RANDOM / TYPE=RSMOOTH KNOTMETHOD= KDTREE(TREEINFO)

KnotInfo

knot coordinates of low-rank spline smoother

RANDOM / TYPE=RSMOOTH KNOTINFO

LSMeans

LS-means

LSMEANS

LSMEstimates

estimates among LS-means

LSMESTIMATE

LSMFtest

F test for LSMESTIMATEs

LSMESTIMATE / FTEST

LSMLines

lines display for LS-means

LSMEANS / LINES

ModelInfo

model information

default output

NObs

number of observations read and used, number of trials and events

default output

OddsRatios

odds ratios of parameter estimates

MODEL / ODDSRATIO

OptInfo

optimization information

default output

ParameterEstimates

fixed-effects solution; overdispersion and scale parameter in GLMs

MODEL / S

ParmSearch

parameter search values

PARMS

QuadCheck

adaptive recalculation of quadrature approximation at solution

METHOD=QUAD(QCHECK)

ResponseProfile

response categories and category modeled

default output in models with binary or nominal response

Slices

tests of LS-means slices

LSMEANS / SLICE=

SliceDiffs

differences of simple LS-means effects

LSMEANS / SLICEDIFF=

SolutionR

random-effects solution vector

RANDOM / S

StandardizedCoefficients

fixed-effects solutions from centered and/or scaled model

MODEL / STDCOEF

Tests1

Type I tests of fixed effects

MODEL / HTYPE=1

Tests2

Type II tests of fixed effects

MODEL / HTYPE=2

Tests3

Type III tests of fixed effects

default output

V

blocks of the estimated matrix

RANDOM / V

VCorr

correlation matrix from the blocks of the estimated matrix

RANDOM / VCORR

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