![]() ![]() ![]() Specifies an absolute parameter estimate convergence criterion for doubly iterative estimation methods. You can specify the following options in the PROC GLIMMIX statement. ![]() Tunes singularity for the residual variance Tunes singularity for Cholesky decompositions Specifies the relative parameter estimate convergence criterion for PL Specifies significant digits in computing objective function Unbounds the covariance parameter estimatesĭetermines the absolute parameter estimate convergence criterion for PL Uses fixed-effects starting values via generalized linear model Writes subject-specific gradients to a SAS data setĬomputes empirical ("sandwich") estimatorsĪffects the computation of information criteria Suppresses "Class Level Information" completely or in part Table 38.1 PROC GLIMMIX Statement Optionsĭetermines computation of scale parameters in GLM modelsĭetermines the sort order of CLASS variablesĭisplays the asymptotic correlation matrix of the covariance parameter estimatesĭisplays the asymptotic covariance matrix of the covariance parameter estimatesĭisplays the gradient of the objective function with respect to the parameter estimatesĪdds estimates and gradients to the "Iteration History" These and other options in the PROC GLIMMIX statement are then described fully in alphabetical order. Table 38.1 summarizes some important options in the PROC GLIMMIX statement by function. The PROC GLIMMIX statement invokes the procedure. ![]()
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