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