Bounded Memory Linear and Generalized Linear Models

Regression for data too large to fit in memory. This package functions exactly like the 'biglm' package, but works with later versions of R.


This is basically Alan Miller's modification (AS274) of the other 
Gentleman's (AS 75) regression by incremental QR decomposition. It has 
been lifted out of the "leaps" package and wrapped with an lm-like 
interface to make experimentation easier. 

The calculation of the sandwich covariance estimator in the same single 
pass over the data is new. 


Reference manual

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install.packages("biglmm")

0.9-3 by Mark Purver, 2 years ago


Browse source code at https://github.com/cran/biglmm


Authors: Thomas Lumley [aut] , Christophe Dutang [ctb] , Alan Miller [ctb] (Algorithm AS 274) , Morven Gentleman [ctb] (Algorithm AS 75) , Mark Purver [cre]


Documentation:   PDF Manual  


GPL license


Depends on DBI, methods

Suggests RSQLite, RODBC

Enhances leaps


See at CRAN