Log message:
(math/R-MatrixModels) Updated 0.5.0 to 0.5.3, make test passed.
2023-10-13  Martin Maechler  <maechler@stat.math.ethz.ch>
	* DESCRIPTION (Version): 0.5-3
	* man/lm.fit.sparse.Rd: use '\describe{..}` instead of lost braces.
2023-06-18  Martin Maechler  <maechler@stat.math.ethz.ch>
	* DESCRIPTION (Version): 0.5-2
	* R/modelMatrix.R (solveCoef): 'predModule': Mikael J Matrix 1.6-0:
	Using Cholesky() instead of chol() for solve()ing.
2022-09-12  Martin Maechler  <maechler@ethz.ch>
	* R/modelMatrix.R (glm4): support the 'contrasts' argument
	 when that works in 'model.Matrix()'.
2021-09-03  Martin Maechler  <maechler@stat.math.ethz.ch>
	* DESCRIPTION (Version): 0.5-1
	* R/AllClass.R: update for Matrix 1.5-0

Log message:
math: Replace RMD160 checksums with BLAKE2s checksums
All checksums have been double-checked against existing RMD160 and
SHA512 hashes

Log message:
math: Remove SHA1 hashes for distfiles

Log message:
Update all R packages to canonical form.
The canonical form [1] of an R package Makefile includes the
following:
- The first stanza includes R_PKGNAME, R_PKGVER, PKGREVISION (as
  needed), and CATEGORIES.
- HOMEPAGE is not present but defined in math/R/Makefile.extension to
  refer to the CRAN web page describing the package.  Other relevant
  web pages are often linked from there via the URL field.
This updates all current R packages to this form, which will make
regular updates _much_ easier, especially using pkgtools/R2pkg.
[1] https://mail-index.netbsd.org/tech-pkg/2019/08/02/msg021711.html

Log message:
R-MatrixModels: update to canonical form of an R package.

Log message:
Remove MASTER_SITES= from individual R package Makefiles.
Each R package should include ../../math/R/Makefile.extension, which also
defines MASTER_SITES.  Consequently, it is redundant for the individual
packages to do the same.  Package-specific definitions also prevent
redefining MASTER_SITES in a single common place.

Log message:
Import MatrixModels 0.4-1 as math/R-MatrixModels.
Modelling with sparse and dense 'Matrix' matrices, using modular
prediction and response module classes.