Package: bigdatadist 1.1

Gabriel Martos

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

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).

Authors:Gabriel Martos [aut, cre], Nicolas Hernandez [aut]

bigdatadist_1.1.tar.gz
bigdatadist_1.1.zip(r-4.7-x86_64)bigdatadist_1.1.zip(r-4.7-arm64)bigdatadist_1.1.zip(r-4.6-x86_64)bigdatadist_1.1.zip(r-4.6-arm64)
bigdatadist_1.1.tar.gz(r-4.7-arm64)bigdatadist_1.1.tar.gz(r-4.7-x86_64)bigdatadist_1.1.tar.gz(r-4.6-arm64)bigdatadist_1.1.tar.gz(r-4.6-x86_64)
bigdatadist_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
bigdatadist/json (API)

# Install 'bigdatadist' in R:
install.packages('bigdatadist', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

glibc

1.18 score 15 scripts 304 downloads 8 exports 9 dependencies

Last updated from:988daa6342. Checks:9 OK, 1 WARNING. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK119
linux-devel-x86_64OK119
source / vignettesOK187
linux-release-arm64OK95
linux-release-x86_64OK112
windows-devel-arm64OK198
windows-devel-x86_64OK76
windows-release-arm64WARNING190
windows-release-x86_64OK62
wasm-releaseOK120

Exports:entropyentropy.fdfdframegmdepthgmdepth.fdkmdepth.fdlevelsetdistrkhs

Dependencies:DEoptimRFNNlatticeMASSmvtnormpcaPPpdistrobustbaserrcov