R-cran-pROC Display and Analyze ROC Curves

1.16.1 graphics =0 Version of this port present on the latest quarterly branch.

Maintainer: tota@FreeBSD.org

Port Added: 2020-01-09 16:59:33

Last Update: 2020-01-15 22:11:00

SVN Revision: 523183

License: GPLv3

Description:

Tools for visualizing, smoothing and comparing receiver operating characteristic (ROC curves). (Partial) area under the curve (AUC) can be compared with statistical tests based on U-statistics or bootstrap. Confidence intervals can be computed for (p)AUC or ROC curves. WWW: https://cran.r-project.org/web/packages/pROC/

SVNWeb : Homepage

pkg-plist: as obtained via: make generate-plist

Expand this list (3 items)

1. /usr/local/share/licenses/R-cran-pROC-1.16.1/catalog.mk
2. /usr/local/share/licenses/R-cran-pROC-1.16.1/LICENSE
3. /usr/local/share/licenses/R-cran-pROC-1.16.1/GPLv3

Collapse this list.

Dependency lines:

• R-cran-pROC>0:graphics/R-cran-pROC

To install the port: cd /usr/ports/graphics/R-cran-pROC/ && make install clean

To add the package: pkg install R-cran-pROC

PKGNAME: R-cran-pROC

Flavors: there is no flavor information for this port.

distinfo:

TIMESTAMP = 1579126125 SHA256 (pROC_1.16.1.tar.gz) = 35bd783811ba0138a1f8d6d7eecca7fc3c98f7aec62fe094ea577741fd0a7762 SIZE (pROC_1.16.1.tar.gz) = 371505

Dependencies

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

Build dependencies:

1. R-cran-plyr>0 : devel/R-cran-plyr
2. R-cran-Rcpp>=0.11.1 : devel/R-cran-Rcpp
3. R : math/R
4. gfortran9 : lang/gcc9
5. as : devel/binutils

Runtime dependencies:

1. R-cran-plyr>0 : devel/R-cran-plyr
2. R-cran-Rcpp>=0.11.1 : devel/R-cran-Rcpp
3. R : math/R
4. gfortran9 : lang/gcc9

This port is required by:

for Build

1. devel/R-cran-caret

for Run

1. devel/R-cran-caret

Configuration Options

No options to configure

USES:

cran:auto-plist,compiles

Master Sites:

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

- Update to 1.16.1

- Update to 1.16.0

- Add new port: graphics/R-cran-pROC

  Tools for visualizing, smoothing and comparing receiver operating
  characteristic (ROC curves). (Partial) area under the curve (AUC)
  can be compared with statistical tests based on U-statistics or
  bootstrap. Confidence intervals can be computed for (p)AUC or ROC
  curves.

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

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Last updated:
2020-02-14 01:16:43