SCM

R Development Page

Contributed R Packages

Below is a list of all packages provided by project bigmemory.

Important note for package binaries: R-Forge provides these binaries only for the most recent version of R, but not for older versions. In order to successfully install the packages provided on R-Forge, you have to switch to the most recent version of R or, alternatively, install from the package sources (.tar.gz).

Packages

bigalgebra

BLAS routines for native R matrices and big.matrix objects.

  This package provides arithmetic functions for R matrix and big.matrix objects.
  Version: 0.8.4 | Last change: 2014-04-15 15:52:54+02 | Rev.: 466
  Download: linux(.tar.gz) | windows(.zip) | Build status: Failed to build | Stable Release: Get bigalgebra 0.8.4 from CRAN
  R install command: install.packages("bigalgebra", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


biganalytics

A library of utilities for big.matrix objects of package bigmemory.

  This package extends the bigmemory package with various analytics. Functions bigkmeans and binit may also be used with native R objects. For tapply-like functions, the bigtabulate package may also be helpful. For linear algebra support, see bigalgebra. For mutex (locking) support for advanced shared-memory usage, see synchronicity.
  Version: 1.1.2 | Last change: 2013-11-04 19:32:52+01 | Rev.: 450
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get biganalytics 1.1.1 from CRAN
  R install command: install.packages("biganalytics", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


bigmemory

Manage massive matrices with shared memory and memory-mapped files

  Create, store, access, and manipulate massive matrices. Matrices are allocated to shared memory and may use memory-mapped files. Packages biganalytics, bigtabulate, synchronicity, and bigalgebra provide advanced functionality.
  Version: 4.4.10 | Last change: 2014-05-26 17:54:42+02 | Rev.: 467
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get bigmemory 4.4.6 from CRAN
  R install command: install.packages("bigmemory", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


bigmemory.sri

A shared resource interface for Bigmemory Project packages

  This package provides a shared resource interface for the bigmemory and synchronicity packages.
  Version: 0.1.2 | Last change: 2012-09-15 20:03:50+02 | Rev.: 415
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get bigmemory.sri 0.1.2 from CRAN
  R install command: install.packages("bigmemory.sri", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


bigtabulate

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.
  Version: 1.1.2 | Last change: 2013-11-05 16:25:24+01 | Rev.: 451
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get bigtabulate 1.1.2 from CRAN
  R install command: install.packages("bigtabulate", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


bigvideo

Video camera streaming, and more, via opencv.

  This package provides video support via opencv.
  Version: 1.0.0 | Last change: 2010-06-24 19:14:56+02 | Rev.: 339
  Download: linux(.tar.gz) | windows(.zip) | Build status: Failed to build
  R install command: install.packages("bigvideo", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


synchronicity

Boost mutex functionality for R.

  This package provides Boost mutex functionality in R.
  Version: 1.1.4 | Last change: 2014-04-15 15:45:47+02 | Rev.: 464
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get synchronicity 1.1.4 from CRAN
  R install command: install.packages("synchronicity", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)

 

Build status codes

0 - Current: the package is available for download. The corresponding package passed checks on the Linux and Windows platform without ERRORs.
1 - Scheduled for build: the package has been recognized by the build system and provided in the staging area.
2 - Building: the package has been sent to the build machines. It will be built and checked using the latest patched version of R. Note that it is included in a batch of several packages. Thus, this process will take some time to finish.
3 - Failed to build: the package failed to build or did not pass the checks on the Linux and/or Windows platform. It is not made available since it does not meet the policies.
4 - Conflicts: two or more packages of the same name exist. None of them will be built. Maintainers are asked to negotiate further actions.
5 - Offline: the package is not available. The build system may be offline or the package maintainer did not trigger a rebuild (done e.g., via committing to the package repository).

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