./math/R-FNN, Fast nearest neighbor search algorithms and applications

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Branch: CURRENT, Version: 1.1.3, Package name: R-FNN-1.1.3, Maintainer: pkgsrc-users

Cover-tree and kd-tree fast k-nearest neighbor search algorithms
and related applications including KNN classification, regression
and information measures are implemented.


Required to run:
[math/R]

Required to build:
[pkgtools/cwrappers]

Master sites: (Expand)


Version history: (Expand)


CVS history: (Expand)


   2019-08-08 21:53:58 by Brook Milligan | Files touched by this commit (189) | Package updated
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] http://mail-index.netbsd.org/tech-pkg/2 … 21711.html
   2018-12-21 03:59:50 by Wen Heping | Files touched by this commit (2) | Package updated
Log message:
Update to 1.1.2.2

Upstream changes:
CHANGES IN FNN VERSION 1.1.2

	o Remove C++ uses of 'register' keyword.
	o Register native routines.
   2018-07-28 16:40:53 by Brook Milligan | Files touched by this commit (126)
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.
   2016-02-25 02:09:37 by Wen Heping | Files touched by this commit (4)
Log message:
Import FNN-1.1 as math/R-FNN.

Cover-tree and kd-tree fast k-nearest neighbor search algorithms
and related applications including KNN classification, regression
and information measures are implemented.