Bounded Memory Linear and Generalized Linear Models

Regression for data too large to fit in memory.


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("biglm")

0.9-3 by Thomas Lumley, 2 years ago


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


Authors: Thomas Lumley


Documentation:   PDF Manual  


GPL license


Depends on DBI, methods

Suggests RSQLite, RODBC

Enhances leaps


Imported by EMJMCMC, cplm, rwicc.

Depended on by biganalytics, speedglm.

Suggested by DeclareDesign, broom, broom.helpers, emmeans, ff, insight, ipumsr, leaps, marginaleffects, optmatch, parameters, parglm, rstanarm, vectra.

Enhanced by prediction, texreg.


See at CRAN