Last data update: 2014.03.03

lfda

Package: lfda
Type: Package
Title: Local Fisher Discriminant Analysis
Version: 1.1.1
Date: 2016-02-03
Author: Yuan Tang <terrytangyuan@gmail.com> and Zachary Deane-Mayer with contributions from Nan Xiao.
URL: https://github.com/terrytangyuan/lfda
BugReports: https://github.com/terrytangyuan/lfda/issues
Maintainer: Yuan Tang <terrytangyuan@gmail.com>
License: MIT + file LICENSE
Description: Functions for performing and visualizing Local Fisher Discriminant Analysis(LFDA), Kernel Fisher Discriminant Analysis(KLFDA), and Semi-supervised Local Fisher Discriminant Analysis(SELF).
Depends: R (>= 3.1.0)
Imports: plyr, grDevices, rARPACK
Suggests: testthat, rgl
NeedsCompilation: no
Packaged: 2016-02-04 15:07:07 UTC; ttang
Repository: CRAN
Date/Publication: 2016-02-04 16:32:26

● 0 images, 12 functions, 0 datasets
● Reverse Depends: 0

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'lfda' ...
** package 'lfda' successfully unpacked and MD5 sums checked
** R
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'lfda'
    finding HTML links ... done
    Cols                                    html  
    getAffinityMatrix                       html  
    getMetricOfType                         html  
    grapes-pow-grapes                       html  
    klfda                                   html  
    kmatrixGauss                            html  
    lfda                                    html  
    plot.lfda                               html  
    predict.lfda                            html  
    print.lfda                              html  
    repmat                                  html  
    self                                    html  
** building package indices
** testing if installed package can be loaded
* DONE (lfda)
Making 'packages.html' ... done