Rick Wicklin discussed in his blog the performance in solving a linear system using SOLVE() function and INV() function from IML.
Since regression analysis is an integral part of SAS applications and there are many SAS procedures in SAS/STAT that a…
Tag: PROC GLIMMIX
Benchmark Regression Procedures using OLS Regression
Rick Wicklin discussed in his blog the performance in solving a linear system using SOLVE() function and INV() function from IML.
Since regression analysis is an integral part of SAS applications and there are many SAS procedures in SAS/STAT that a…
Benchmark Regression Procedures using OLS Regression
Rick Wicklin discussed in his blog the performance in solving a linear system using SOLVE() function and INV() function from IML.
Since regression analysis is an integral part of SAS applications and there are many SAS procedures in SAS/STAT that a…
%HPGLIMMIX macro on large scale HMM
PROC GLIMMIX is good tool for generalized linear mixed model (GLMM), when the scale is small to medium. When facing a large scale GLMM, such as modeling all ZIPs nested in Counties nested in all 51 States in US, a 64-bit machine with extremely large …
%HPGLIMMIX macro on large scale HMM
PROC GLIMMIX is good tool for generalized linear mixed model (GLMM), when the scale is small to medium. When facing a large scale GLMM, such as modeling all ZIPs nested in Counties nested in all 51 States in US, a 64-bit machine with extremely large …
%HPGLIMMIX macro on large scale HMM
PROC GLIMMIX is good tool for generalized linear mixed model (GLMM), when the scale is small to medium. When facing a large scale GLMM, such as modeling all ZIPs nested in Counties nested in all 51 States in US, a 64-bit machine with extremely large …
Low Rank Radial Smoothing using GLIMMIX and its Scoring
Low Rank Radial Smoothing using GLIMMIX [1], a semiparametric approach to smooth curves [2]. Specifying TYPE=RSMOOTH option in RANDOM statement, we can implement this spline smooth approach. The bast thing is that for future scoring, data preparation…