./math/R-randomForest, Breiman and Cutlers Random Forests for Classification and Regression

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Branch: CURRENT, Version: 4.7.1.2, Package name: R-randomForest-4.7.1.2, Maintainer: pkgsrc-users

Classification and regression based on a forest of trees using random
inputs.


Required to run:
[lang/g95] [math/R]

Required to build:
[pkgtools/cwrappers]

Master sites: (Expand)

Version history: (Expand)

CVS history: (Expand)


   2024-11-16 02:42:54 by Makoto Fujiwara | Files touched by this commit (2) 
Log message:
(math/R-randomForest) Updated 4.7.11 to 4.7.12, NEWS  does not have that entry
   2023-06-10 13:58:45 by Makoto Fujiwara | Files touched by this commit (2) 
Log message:
(math/R-randomForest) Updated 4.6.14 to 4.7.1.1

Changes in 4.7-1:

* The long-standing wishlist item of case weights (used only in sampling)
  is now available (thanks to urging from Robert Tishirani and implementation
  by Ethan Liaw).
   2021-10-26 12:56:13 by Nia Alarie | Files touched by this commit (458) 
Log message:
math: Replace RMD160 checksums with BLAKE2s checksums

All checksums have been double-checked against existing RMD160 and
SHA512 hashes
   2021-10-07 16:28:36 by Nia Alarie | Files touched by this commit (458) 
Log message:
math: Remove SHA1 hashes for distfiles
   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/2019/08/02/msg021711.html
   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.
   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 04:38:49 by Wen Heping | Files touched by this commit (2) 
Log message:
Update to 4.6.10

Upstream changes:
Changes in 4.6-10:

* Fixed bugs introduced in 4.6-8 and 4.6-9. Levels for ordered factors
  in predictors are no longer checked for consistency between training
  and test data in predict.randomForest().  In 4.6-9 the response is mean
  centered before running the algorithm (for regression), but the mean was
  not added back in the $y component of the return object from
  randomForest().

Changes in 4.6-9:

* Categorical predictors are allowed to have up to 53 categories now.

Changes in 4.6-8:

* There was a bug in the handling of ordered factors in randomForest.formula().
  (Reported by Barry Rawlingson.)

* Changed randomForest.formula() and predict.randomForest() so that
  predict() without newdata when na.action=na.exclude pads the output
  with NAs to match the rows in the original data (suggested by Barry
  Rawlingson.).

* There was a long standing bug in randomForest(..., proximity=TRUE, oob.prox=FALSE)
  in regression mode. (Thanks to Stefano Romano for the report.)