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History of commit frequency

CVS Commit History:


   2016-04-09 10:30:36 by Wen Heping | Files touched by this commit (2)
Log message:
Update to 1.8.3

Upstream changes:
Version 1.8.3

    Revert to C version of loop_apply() as Rcpp version was appears to be having \ 
PROTECTion problems. (Also fixes #256)
   2015-11-04 00:33:46 by Alistair G. Crooks | Files touched by this commit (262)
Log message:
Add SHA512 digests for distfiles for math category

Problems found locating distfiles:
	Package dfftpack: missing distfile dfftpack-20001209.tar.gz
	Package eispack: missing distfile eispack-20001130.tar.gz
	Package fftpack: missing distfile fftpack-20001130.tar.gz
	Package linpack: missing distfile linpack-20010510.tar.gz
	Package minpack: missing distfile minpack-20001130.tar.gz
	Package odepack: missing distfile odepack-20001130.tar.gz
	Package py-networkx: missing distfile networkx-1.10.tar.gz
	Package py-sympy: missing distfile sympy-0.7.6.1.tar.gz
	Package quadpack: missing distfile quadpack-20001130.tar.gz

Otherwise, existing SHA1 digests verified and found to be the same on
the machine holding the existing distfiles (morden).  All existing
SHA1 digests retained for now as an audit trail.
   2015-05-31 05:54:07 by Wen Heping | Files touched by this commit (2)
Log message:
Update to 1.8.2

No Upstream changelog found.
   2014-09-19 23:19:40 by Brook Milligan | Files touched by this commit (1)
Log message:
Fix dependency on R-Rcpp, which was moved from math/R-Rcpp to devel/R-Rcpp.

Note: this commit is part of reorganizing some of the recently
imported R packages, which are being reimported into more appropriate
categories (and removed from math) as a result of a recent discussion
on tech-pkg and privately with wiz@.  See the thread starting with:

  http://mail-index.netbsd.org/tech-pkg/2014/09/05/msg013558.html
   2014-08-26 18:40:40 by Brook Milligan | Files touched by this commit (2)
Log message:
Update to plyr v1.8.1.
   2013-08-15 11:22:21 by Wen Heping | Files touched by this commit (3)
Log message:
Imported R-plyr as math/R-plyr.

plyr is a set of tools that solves a common set of problems: you
need to break a big problem down into manageable pieces, operate
on each pieces and then put all the pieces back together. For example,
you might want to fit a model to each spatial location or time point
in your study, summarise data by panels or collapse high-dimensional
arrays to simpler summary statistics. The development of plyr has
been generously supported by BD (Becton Dickinson).

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