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

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",

}

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