Efficient implementation of k-nearest neighbor estimation and kernel estimation for functional data classification.
| Version: | 0.1.1 |
| Depends: | R (≥ 2.10) |
| Imports: | BBmisc (≥ 1.11), checkmate (≥ 1.8.2), dtw, fda, fda.usc, fdasrvf, proxy, rucrdtw, stats, zoo |
| Suggests: | testthat, knitr, rmarkdown, parallelMap |
| Published: | 2018-04-16 |
| Author: | Thomas Maierhofer [aut, cre], Karen Fuchs [ctb], Florian Pfisterer [aut] |
| Maintainer: | Thomas Maierhofer <thomasjmaierhofer at gmail.com> |
| License: | GPL-3 |
| URL: | https://github.com/maierhofert/classiFunc |
| NeedsCompilation: | no |
| Materials: | README |
| In views: | FunctionalData |
| CRAN checks: | classiFunc results |
| Reference manual: | classiFunc.pdf |
| Vignettes: |
classiFunc |
| Package source: | classiFunc_0.1.1.tar.gz |
| Windows binaries: | r-devel: classiFunc_0.1.1.zip, r-release: classiFunc_0.1.1.zip, r-oldrel: classiFunc_0.1.1.zip |
| OS X binaries: | r-release: classiFunc_0.1.1.tgz, r-oldrel: classiFunc_0.1.1.tgz |
| Old sources: | classiFunc archive |
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