Packaged: Tue Aug 26 09:00:51 2008; rpeng

Maintainer: Roger D. Peng <rdpeng@jhu.edu>
Description: Implements a simple key-value style database where character string keys
are associated with data values that are stored on the disk. A simple interface is provided for inserting,
retrieving, and deleting data from the database. Utilities are provided that allow 'filehash' databases to be
treated much like environments and lists are already used in R. These utilities are provided to encourage
interactive and exploratory analysis on large datasets. Three different file formats for representing the
database are currently available and new formats can easily be incorporated by third parties for use in the

Depends:  R (>= 2.4.0), methods, filehash, DBI, RSQLite
Title:  Simple key-value database using SQLite
Description:  Simple key-value database using SQLite as the backend
Packaged: Wed Nov  8 13:30:59 2006; rpeng

Depends:  R (>= 2.4.1), methods, filehash (>= 1.0), DBI, RSQLite
Packaged: Mon Apr 30 09:29:02 2007; rpeng

Depends: R (>= 2.9.0), methods, filehash (>= 1.0), DBI, RSQLite
Title: Simple key-value database using SQLite
Description: Simple key-value database using SQLite as the backend

Depends: R (>= 2.14.0), methods, filehash (>= 1.0), DBI, RSQLite

Title: Simple Key-Value Database Using SQLite
Description: Simple key-value database using SQLite as the back end.

Depends:  R (>= 2.4.1), methods, filehash (>= 0.9), DBI, RSQLite
Packaged: Thu Apr 19 13:44:15 2007; rpeng

Description: Place an exclusive or shared lock on a file. It uses 'LockFile'
on Windows and 'fcntl' locks on Unix-like systems.
Suggests: callr (>= 2.0.0), covr, testthat
Packaged: 2018-02-07 00:31:31 UTC; gaborcsardi

Packaged: 2018-10-05 10:03:40 UTC; gaborcsardi

Title: File-Backed Matrix Class with Convenient Read and Write Access
Description: Interface for working with large matrices stored in files, not in computer memory.
Supports multiple data types (double, integer, logical and raw) of different sizes (e.g. 4, 2, or 1 byte integers).
Access to parts of the matrix is done by indexing, exactly as with usual R matrices.
Supports very large matrices (tested on 1 terabyte matrix), allowing for more than 2^32 rows or columns.
Cross-platform as the package has R code only, no C/C++.