CRAN/E | bigdatadist

bigdatadist

Distances for Machine Learning and Statistics in the Context of Big Data

Installation

About

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).

Citation bigdatadist citation info

Key Metrics

Version 1.1
R ≥ 3.4.0
Published 2018-09-24 2044 days ago
Needs compilation? yes
License GPL (≥ 3)
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Maintainer

Maintainer

Gabriel Martos

gmartos@utdt.edu

Authors

Gabriel Martos

aut / cre

Nicolas Hernandez

aut

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

bigdatadist archive

Depends

R ≥ 3.4.0

Imports

MASS
FNN
rrcov
pdist