speedglm: Fitting Linear and Generalized Linear Models to large data sets.

Marco Enea

speedglm: Fitting Linear and Generalized Linear Models to large data sets.

Risultato della ricerca: Other contribution

Abstract

This is an R packge to fit (generalized) linear models to large data sets. For data loaded in R memory the fitting is usually fast,especially if R is linked against an optimized BLAS. For data sets of size greater of R memory, thefitting is made by an updating algorithm

Lingua originale	English
Stato di pubblicazione	Published - 2009

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title = "speedglm: Fitting Linear and Generalized Linear Models to large data sets.",

abstract = "This is an R packge to fit (generalized) linear models to large data sets. For data loaded in R memory the fitting is usually fast,especially if R is linked against an optimized BLAS. For data sets of size greater of R memory, thefitting is made by an updating algorithm",

author = "Marco Enea",

year = "2009",

language = "English",

type = "Other",

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TY - GEN

T1 - speedglm: Fitting Linear and Generalized Linear Models to large data sets.

AU - Enea, Marco

PY - 2009

Y1 - 2009

N2 - This is an R packge to fit (generalized) linear models to large data sets. For data loaded in R memory the fitting is usually fast,especially if R is linked against an optimized BLAS. For data sets of size greater of R memory, thefitting is made by an updating algorithm

AB - This is an R packge to fit (generalized) linear models to large data sets. For data loaded in R memory the fitting is usually fast,especially if R is linked against an optimized BLAS. For data sets of size greater of R memory, thefitting is made by an updating algorithm

UR - http://hdl.handle.net/10447/78880

M3 - Other contribution

ER -

speedglm: Fitting Linear and Generalized Linear Models to large data sets.

Abstract

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