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r-cran-matrix

GNU R package of classes for dense and sparse matrices

Variants:
This CRAN package provides S4 classes and methods for numerical linear algebra using dense or sparse matrices. The sparse matrix implementation uses code from the LDL sparse matrix package and code from the Metis package of partitioning algorithms.
Homepage:-
Package version:1.0-6-1
Architecture:i386
Distribution:Debian
Filename:r-cran-matrix_1.0-6-1_i386.deb

/usr/share/doc/r-cran-matrix/changelog.Debian.gz

rmatrix (1.0-6-1) unstable; urgency=low

  * New upstream release

  * debian/control: Set Build-Depends: to current R version

 -- Dirk Eddelbuettel <edd@debian.org>  Sun, 01 Apr 2012 16:36:57 -0500

rmatrix (1.0-5-1) unstable; urgency=low

  * New upstream release
  
  * debian/control: Set Build-Depends: to current R version
  * debian/control: Change Depends to ${R:Depends}
  * debian/control:
more»

/usr/share/doc/r-cran-matrix/changelog.gz

2012-03-15  Martin Maechler  <maechler@stat.math.ethz.ch>

	* R/spModels.R (sparseInt.r): recursion free (which does not help much).

2012-03-05  Martin Maechler  <maechler@stat.math.ethz.ch>

	* src/dtCMatrix.c (dtCMatrix_sparse_solve): no longer use Alloca()
	here.
	* tests/factorizing.R (checkSchur): check against segfault example.

	* R/Matrix.R (chol2inv(<diagonalMatrix>)) new method.

2012-0
more»

/usr/share/doc/r-cran-matrix/TODO.gz

##-*- mode: org -*-

- Look at Paul Bailey's problem -- CHOLMOD error (even seg.fault for him)
  --> ~/R/MM/Pkg-ex/Matrix/sparseOrderedLogit.R

- BunchKaufman()'s result is not really useful yet {but it is used on C
  level e.g. for solve(<dsyMatrix>).   Should define  expand() method or
  similar, see man/BunchKaufman-methods.Rd and R/dsyMatrix.R (at end).

---------------------------------------
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/usr/lib/R/library/Matrix/Copyrights

The files src/iohb.[ch] are available at 
http://math.nist.gov/~KRemington/harwell_io/ and carry the
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/usr/share/doc/r-cran-matrix/copyright

This is the Debian GNU/Linux r-cran-matrix package of Matrix, a
package for GNU R providing dense an
more»

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