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 44.25.
Table 44.25: 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 |
|
CholV |
Cholesky root of blocks of the estimated matrix |
|
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 |
CondFitStatistics |
conditional fit statistics |
|
Contrasts |
results from the CONTRAST statements |
|
ConvergenceStatus |
status of optimization at conclusion |
default output |
CorrB |
approximate correlation matrix of fixed-effects parameter estimates |
|
CovB |
approximate covariance matrix of fixed-effects parameter estimates |
|
CovBDetails |
details about model-based and/or adjusted covariance matrix of fixed effects |
|
CovBI |
inverse of approximate covariance matrix of fixed-effects parameter estimates |
|
CovBModelBased |
model-based (unadjusted) covariance matrix of fixed effects if DDFM= KR or EMPIRICAL option is used |
|
CovParms |
estimated covariance parameters in GLMMs |
default output (in GLMMs) |
CovTests |
results from COVTEST statements (except for confidence bounds) |
|
Diffs |
differences of LS-means |
|
Dimensions |
dimensions of the model |
default output |
Estimates |
results from ESTIMATE statements |
|
FitStatistics |
fit statistics |
default |
G |
estimated matrix |
|
GCorr |
correlation matrix from the estimated matrix |
|
Hessian |
Hessian matrix (observed or expected) |
PROC GLIMMIX HESSIAN |
InvCholG |
inverse Cholesky root of the estimated matrix |
|
InvCholV |
inverse Cholesky root of the blocks of the estimated matrix |
|
InvG |
inverse of the estimated matrix |
|
InvV |
inverse of blocks of the estimated matrix |
|
IterHistory |
iteration history |
default output |
kdTree |
k-d tree information |
RANDOM / TYPE=RSMOOTH KNOTMETHOD= KDTREE(TREEINFO) |
KnotInfo |
knot coordinates of low-rank spline smoother |
|
LSMeans |
LS-means |
|
LSMEstimates |
estimates among LS-means |
|
LSMFtest |
F test for LSMESTIMATE s |
|
LSMLines |
lines display for LS-means |
|
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 |
|
OptInfo |
optimization information |
default output |
ParameterEstimates |
fixed-effects solution; overdispersion and scale parameter in GLMs |
|
ParmSearch |
parameter search values |
|
QuadCheck |
adaptive recalculation of quadrature approximation at solution |
|
ResponseProfile |
response categories and category modeled |
default output in models with binary or nominal response |
Slices |
tests of LS-means slices |
|
SliceDiffs |
differences of simple LS-means effects |
|
SolutionR |
random-effects solution vector |
|
StandardizedCoefficients |
fixed-effects solutions from centered and/or scaled model |
|
Tests1 |
Type I tests of fixed effects |
|
Tests2 |
Type II tests of fixed effects |
|
Tests3 |
Type III tests of fixed effects |
default output |
V |
blocks of the estimated matrix |
|
VCorr |
correlation matrix from the blocks of the estimated matrix |
The SLICE statement also creates tables, which are not listed in Table 44.25. For information about these tables, see the section SLICE Statement in ChapterĀ 19: Shared Concepts and Topics.