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Port details
R-cran-CVST Fast Cross-Validation via Sequential Testing
0.2.1 math on this many watch lists=0 search for ports that depend on this port Find issues related to this port Report an issue related to this port
Maintainer: tota@FreeBSD.org search for ports maintained by this maintainer
Port Added: 10 Sep 2017 07:56:24
License: GPLv2+
This package implements the fast cross-validation via sequential
testing (CVST) procedure. CVST is an improved cross-validation
procedure which uses non-parametric testing coupled with sequential
analysis to determine the best parameter set on linearly increasing
subsets of the data. By eliminating underperforming candidates
quickly and keeping promising candidates as long as possible, the
method speeds up the computation while preserving the capability
of a full cross-validation. Additionally to the CVST the package
contains an implementation of the ordinary k-fold cross-validation
with a flexible and powerful set of helper objects and methods to
handle the overall model selection process. The implementations of
the Cochran's Q test with permutations and the sequential testing
framework of Wald are generic and can therefore also be used in
other contexts.

WWW: https://cran.r-project.org/web/packages/CVST/
SVNWeb : Homepage : PortsMon
    Pseudo-pkg-plist information, but much better, from make generate-plist
    Expand this list (3 items)
  1. /usr/local/share/licenses/R-cran-CVST-0.2.1/catalog.mk
  2. /usr/local/share/licenses/R-cran-CVST-0.2.1/LICENSE
  3. /usr/local/share/licenses/R-cran-CVST-0.2.1/GPLv2+
  4. Collapse this list.

To install the port: cd /usr/ports/math/R-cran-CVST/ && make install clean
To add the package: pkg install R-cran-CVST

PKGNAME: R-cran-CVST

distinfo:

TIMESTAMP = 1505027642
SHA256 (CVST_0.2-1.tar.gz) = a27fd2bfa778fce9b9a68d2b9206c66af27b3c36a973dd45ce673886a267aa9f
SIZE (CVST_0.2-1.tar.gz) = 12452


NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.

Build dependencies:
  1. R-cran-kernlab>0 : science/R-cran-kernlab
  2. R : math/R
Runtime dependencies:
  1. R-cran-kernlab>0 : science/R-cran-kernlab
  2. R : math/R

This port is required by:

for Build for Run * - deleted ports are only shown under the This port is required by section. It was harder to do for the Required section. Perhaps later...
Configuration Options
     No options to configure

USES:
cran:auto-plist

Master Sites:
  1. http://camoruco.ing.uc.edu.ve/cran/src/contrib/
  2. http://camoruco.ing.uc.edu.ve/cran/src/contrib/Archive/CVST/
  3. http://cran.csiro.au/src/contrib/
  4. http://cran.csiro.au/src/contrib/Archive/CVST/
  5. http://cran.utstat.utoronto.ca/src/contrib/
  6. http://cran.utstat.utoronto.ca/src/contrib/Archive/CVST/
  7. https://cloud.r-project.org/src/contrib/
  8. https://cloud.r-project.org/src/contrib/Archive/CVST/
  9. https://cran.cnr.berkeley.edu/src/contrib/
  10. https://cran.cnr.berkeley.edu/src/contrib/Archive/CVST/
  11. https://cran.gis-lab.info/src/contrib/
  12. https://cran.gis-lab.info/src/contrib/Archive/CVST/
  13. https://cran.ism.ac.jp/src/contrib/
  14. https://cran.ism.ac.jp/src/contrib/Archive/CVST/
  15. https://cran.ma.imperial.ac.uk/src/contrib/
  16. https://cran.ma.imperial.ac.uk/src/contrib/Archive/CVST/
  17. https://mirror.las.iastate.edu/CRAN/src/contrib/
  18. https://mirror.las.iastate.edu/CRAN/src/contrib/Archive/CVST/
  19. https://mirrors.tuna.tsinghua.edu.cn/CRAN/src/contrib/
  20. https://mirrors.tuna.tsinghua.edu.cn/CRAN/src/contrib/Archive/CVST/
  21. https://stat.ethz.ch/CRAN/src/contrib/
  22. https://stat.ethz.ch/CRAN/src/contrib/Archive/CVST/

Number of commits found: 1

Commit History - (may be incomplete: see SVNWeb link above for full details)
DateByDescription
10 Sep 2017 07:56:15
Original commit files touched by this commit  0.2.1
Revision:449522
tota search for other commits by this committer
- Add new port: math/R-cran-CVST

  This package implements the fast cross-validation via sequential
  testing (CVST) procedure. CVST is an improved cross-validation
  procedure which uses non-parametric testing coupled with sequential
  analysis to determine the best parameter set on linearly increasing
  subsets of the data. By eliminating underperforming candidates
  quickly and keeping promising candidates as long as possible, the
  method speeds up the computation while preserving the capability
  of a full cross-validation. Additionally to the CVST the package
  contains an implementation of the ordinary k-fold cross-validation
  with a flexible and powerful set of helper objects and methods to
  handle the overall model selection process. The implementations of
  the Cochran's Q test with permutations and the sequential testing
  framework of Wald are generic and can therefore also be used in
  other contexts.

  WWW: https://cran.r-project.org/web/packages/CVST/

Number of commits found: 1

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