Selecting linear and generalized linear models for large data sets
using modified stepwise procedure and modern selection criteria (like
modifications of Bayesian Information Criterion). Selection can be
performed on data which exceed RAM capacity. Special selection strategy is
available, faster than classical stepwise procedure.
stats, methods, utils, RcppEigen, speedglm, bigmemory, R.utils

stats, methods, utils, RcppEigen, speedglm, bigmemory,
R.utils, matrixStats

person("Piotr", "Szulc", email = "piotr.michal.szulc@gmail.com", role = c("aut", "cre"))
Selecting linear and generalized linear models for large data sets
using modified stepwise procedure and modern selection criteria (like
modifications of Bayesian Information Criterion). Selection can be
performed on data which exceed RAM capacity.
bigmemory, magrittr, matrixStats, methods, R.utils, RcppEigen,
speedglm, stats, utils

bigmemory, magrittr, matrixStats, R.utils, RcppEigen,
speedglm, stats, utils

table-, tapply-, and split-like functionality for matrix and
big.matrix objects.
This package extends the bigmemory package with table- and
split-like support for big.matrix objects.  The functions may
also be used with regular R matrices for improving speed and
memory-efficiency.
(C) 2010 Michael J. Kane and John W. Emerson

This package extends the bigmemory package with table-,
tapply-, and split-like support for big.matrix objects.  The
functions may also be used with regular R matrices for
improving speed and memory-efficiency.

(C) 2012 Michael J. Kane and John W. Emerson

(C) 2013 Michael J. Kane and John W. Emerson

Michael J. Kane <kaneplusplus@gmail.com> and John W. Emerson <jayemerson@gmail.com>
This package extends the bigmemory package with table- and split-like support for big.matrix objects.  The functions may also be used with regular R matrices for improving speed and memory-efficiency.

Table, Apply, and Split Functionality for Matrix and
'big.matrix' Objects
methods, bigmemory (>= 4.0.0), biganalytics
Extend the bigmemory package with 'table', 'tapply', and 'split' support for 'big.matrix' objects.  The functions may also be used with native R matrices for improving speed and memory-efficiency.
(C) 2015 Michael J. Kane and John W. Emerson