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, the fitting is made by an updating algorithm
Lingua originaleEnglish
Stato di pubblicazionePublished - 2009

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Generalized Linear Model
Large Data Sets
Updating

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@misc{0ae0f6f954b742378500451136338e18,
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, the fitting is made by an updating algorithm",
author = "Marco Enea",
year = "2009",
language = "English",
type = "Other",

}

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, the fitting 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, the fitting is made by an updating algorithm

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

M3 - Other contribution

ER -