Last data update: 2014.03.03

rknn

Package: rknn
Type: Package
Title: Random KNN Classification and Regression
Version: 1.2-1
Date: 2015-06-07
Author: Shengqiao Li <lishengqiao@yahoo.com>
Maintainer: Shengqiao Li <lishengqiao@yahoo.com>
Depends: R (>= 2.14), gmp (>= 0.5-5)
Suggests: Hmisc, Biobase, genefilter, golubEsets, chemometrics
Description: Random knn classification and regression are implemented. Random knn based feature selection methods are also included. The approaches are mainly developed for high-dimensional data with small sample size.
License: GPL (>= 2)
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2015-06-07 11:27:21 UTC; Tiger
Repository: CRAN
Date/Publication: 2015-06-09 00:14:51

● 0 images, 22 functions, 0 datasets
● Reverse Depends: 0

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'rknn' ...
** package 'rknn' successfully unpacked and MD5 sums checked
** libs
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include    -fpic  -g -O2  -c KNN.c -o KNN.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include    -fpic  -g -O2  -c init.c -o init.o
gcc -shared -L/home/ddbj/local/lib64/R/lib -L/usr/local/lib64 -o rknn.so KNN.o init.o -L/home/ddbj/local/lib64/R/lib -lR
installing to /home/ddbj/local/lib64/R/library/rknn/libs
** R
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'rknn'
    finding HTML links ... done
    PRESS                                   html  
    be                                      html  
    bestset                                 html  
    confusion                               html  
    cv.coef                                 html  
    eta                                     html  
    fitted.rknn                             html  
    internal                                html  
    lambda                                  html  
    normalize                               html  
    package_summary                         html  
    plot.be                                 html  
    plot.rknnSupport                        html  
    predicted                               html  
    print.rknn                              html  
    print.rknnBe                            html  
    print.rknnSupport                       html  
    r                                       html  
    rknn                                    html  
    rknnSupport                             html  
    rsqp                                    html  
    varUsed                                 html  
** building package indices
** testing if installed package can be loaded
* DONE (rknn)
Making 'packages.html' ... done