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2016-04-09Update to 1.8.3wen2-8/+8
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)
2015-11-03Add SHA512 digests for distfiles for math categoryagc1-1/+2
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.
2015-05-31Update to 1.8.2wen2-6/+6
No Upstream changelog found.
2014-09-19Fix dependency on R-Rcpp, which was moved from math/R-Rcpp to devel/R-Rcpp.brook1-2/+2
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
2014-08-26Update to plyr v1.8.1.brook2-6/+9
2013-08-15Imported R-plyr as math/R-plyr.wen3-0/+27
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).