Jump to content

Comparison of general and generalized linear models

From Wikipedia, the free encyclopedia
This is an old revision of this page, as edited by Qwfp (talk | contribs) at 13:07, 15 September 2011 (Undid revision 450634411 by 128.214.62.73 (talk) GLIMMIX is for generalized linear *mixed* models). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.
General linear model Generalized linear model
Typical estimation method Least squares, best linear unbiased prediction Maximum likelihood or Bayesian
Special cases ANOVA, ANCOVA, MANOVA, MANCOVA, ordinary linear regression, mixed model, t-test, F-test general linear model, logistic regression, Poisson regression
Function in R lm() glm()
Function in Matlab mvregress() glmfit()
Procedure in SAS PROC GLM, PROC MIXED PROC GENMOD (PROC LOGISTIC for logistic regression only)