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Functions for performing and visualizing Local Fisher Discriminant Analysis(LFDA), Kernel Fisher Discriminant Analysis(KLFDA), and Semi-supervised Local Fisher Discriminant Analysis(SELF).
Version: | 1.1.3 |
Depends: | R (≥ 3.1.0) |
Imports: | plyr, grDevices, rARPACK |
Suggests: | testthat, rgl |
Published: | 2019-07-31 |
DOI: | 10.32614/CRAN.package.lfda |
Author: | Yuan Tang [aut, cre], Wenxuan Li [ctb], Nan Xiao [ctb, cph], Zachary Deane-Mayer [ctb] |
Maintainer: | Yuan Tang <terrytangyuan at gmail.com> |
BugReports: | https://github.com/terrytangyuan/lfda/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/terrytangyuan/lfda |
NeedsCompilation: | no |
Citation: | lfda citation info |
Materials: | README NEWS |
CRAN checks: | lfda results |
Reference manual: | lfda.pdf |
Package source: | lfda_1.1.3.tar.gz |
Windows binaries: | r-devel: lfda_1.1.3.zip, r-release: lfda_1.1.3.zip, r-oldrel: lfda_1.1.3.zip |
macOS binaries: | r-release (arm64): lfda_1.1.3.tgz, r-oldrel (arm64): lfda_1.1.3.tgz, r-release (x86_64): lfda_1.1.3.tgz, r-oldrel (x86_64): lfda_1.1.3.tgz |
Old sources: | lfda archive |
Reverse imports: | DA, dml |
Reverse suggests: | ggfortify |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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