Title: Methods for Accessing Huge Amounts of Data [deprecated]
Description: DEPRECATED. Do not start building new projects based on this package. Cross-platform alternatives are the following packages: bigmemory (CRAN), ff (CRAN), BufferedMatrix (Bioconductor).  The main usage of it was inside the aroma.affymetrix package. (The package currently provides a class representing a matrix where the actual data is stored in a binary format on the local file system.  This way the size limit of the data is set by the file system and not the memory.)

Title: Read and write of MAT files together with R-to-Matlab connectivity
Description: This package provides methods to read and write MAT files.  It also makes it possible to communicate (evaluate code, send and retrieve objects etc.) with Matlab v6 or higher running locally or on a remote host.  The auxillary Java class provides static methods to read and write Java data types.

Description: This package provides methods to read and write MAT files.  It also makes it possible to communicate (evaluate code, send and retrieve objects etc.) with Matlab v6 or higher running locally or on a remote host.

Author: Henrik Bengtsson <henrikb@braju.com>, Jason Riedy <ejr@cs.berkeley.edu>
Suggests: R.utils, Matrix, SparseM, Rcompression

Title: Read and write of MAT files together with R-to-Matlab
Author: Henrik Bengtsson <henrikb@braju.com>, Jason Riedy
Description: This package provides methods to read and write MAT files.
It also makes it possible to communicate (evaluate code, send
and retrieve objects etc.) with Matlab v6 or higher running

Suggests: R.utils (>= 1.8.1), Matrix, SparseM, Rcompression

Suggests: R.utils (>= 1.8.2), Matrix, SparseM, Rcompression

Suggests: R.utils (>= 1.8.7), Matrix, SparseM, Rcompression

Suggests: R.utils (>= 1.12.1), Matrix, SparseM

Suggests: R.utils (>= 1.19.5), Matrix, SparseM
Description: This package provides methods readMat() and writeMat() to
read and write MAT files.  It also makes it possible to
communicate (evaluate code, send and retrieve objects etc.)
with Matlab v6 or higher running locally or on a remote host.