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Functions to compute distances between probability measures or any other data object than can be posed in this way, entropy measures for samples of curves, distances and depth measures for functional data, and the Generalized Mahalanobis Kernel distance for high dimensional data. For further details about the metrics please refer to Martos et al (2014) <doi:10.3233/IDA-140706>; Martos et al (2018) <doi:10.3390/e20010033>; Hernandez et al (2018, submitted); Martos et al (2018, submitted).
| Version: | 1.1 |
| Depends: | R (≥ 3.4.0) |
| Imports: | MASS, FNN, rrcov, pdist |
| Published: | 2018-09-24 |
| Author: | Gabriel Martos [aut, cre], Nicolas Hernandez [aut] |
| Maintainer: | Gabriel Martos <gmartos at utdt.edu> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | yes |
| Citation: | bigdatadist citation info |
| CRAN checks: | bigdatadist results |
| Reference manual: | bigdatadist.pdf |
| Package source: | bigdatadist_1.1.tar.gz |
| Windows binaries: | r-devel: bigdatadist_1.1.zip, r-release: bigdatadist_1.1.zip, r-oldrel: bigdatadist_1.1.zip |
| macOS binaries: | r-release (arm64): bigdatadist_1.1.tgz, r-oldrel (arm64): bigdatadist_1.1.tgz, r-release (x86_64): bigdatadist_1.1.tgz, r-oldrel (x86_64): bigdatadist_1.1.tgz |
| Old sources: | bigdatadist archive |
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