bigFastlm: Fast Linear Models for Objects from the 'bigmemory' Package
Version 0.0.2

A reimplementation of the fastLm() functionality of 'RcppEigen' for big.matrix objects for fast out-of-memory linear model fitting.

AuthorJared Huling [aut, cre], Douglas Bates [ctb], Dirk Eddelbuettel [ctb], Romain Francois [ctb], Yixuan Qiu [ctb]
Date of publication2017-03-12 18:53:34
MaintainerJared Huling <jaredhuling@gmail.com>
LicenseGPL (>= 2)
Version0.0.2
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("bigFastlm")

Getting started

README.md

Popular man pages

bigLm: fast and memory efficient linear model fitting
bigLmPure: fast and memory efficient linear model fitting
extract-methods: big.matrix prod
predict.bigLm: Prediction method for bigLm fitted objects
print: print method for bigLm objects
summary: summary method for bigLm fitted objects
See all...

All man pages Function index File listing

Man pages

bigLm: fast and memory efficient linear model fitting
bigLmPure: fast and memory efficient linear model fitting
extract-methods: big.matrix prod
predict.bigLm: Prediction method for bigLm fitted objects
print: print method for bigLm objects
summary: summary method for bigLm fitted objects

Functions

\%*\%,big.matrix,vector-method Man page
\%*\%,vector,big.matrix-method Man page
big.colMax Source code
big.colMin Source code
big.colSums Source code
big.crossprod Source code
bigLm Man page Source code
bigLm.default Man page Source code
bigLmPure Man page Source code
predict.bigLm Man page Source code
print.bigLm Man page Source code
print.summary.bigLm Man page Source code
summary.bigLm Man page Source code

Files

src
src/Makevars
src/bigmemory.cpp
src/bigmemory.h
src/big_fast_lm.cpp
src/Makevars.win
src/big_fast_lm.h
src/bigfastlm_init.c
NAMESPACE
NEWS.md
R
R/bigmemory.R
R/fast_big_lm.R
README.md
MD5
DESCRIPTION
man
man/predict.bigLm.Rd
man/extract-methods.Rd
man/bigLm.Rd
man/print.Rd
man/bigLmPure.Rd
man/summary.Rd
bigFastlm documentation built on May 20, 2017, 4:57 a.m.

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