Package: BivKLD 0.1.0

BivKLD: Bivariate Kullback-Leibler Divergence

Estimates the directed Kullback-Leibler divergence between two bivariate continuous distributions by numerical integration of kernel density estimates. Also computes pairwise divergences among groups and exact divergences for discrete, bivariate normal, bivariate Pareto type II, and independent bivariate Weibull models. The kernel estimator follows Chackochan, Sankaran and Nair (2026) <doi:10.1080/03610926.2025.2496687>.

Authors:Saurav Singla [aut, cre], Rafflesia Chackochan [aut]

BivKLD_0.1.0.tar.gz
BivKLD_0.1.0.zip(r-4.7-any)BivKLD_0.1.0.zip(r-4.6-any)BivKLD_0.1.0.zip(r-4.5-any)
BivKLD_0.1.0.tgz(r-4.6-any)BivKLD_0.1.0.tgz(r-4.5-any)
BivKLD_0.1.0.tar.gz(r-4.7-any)BivKLD_0.1.0.tar.gz(r-4.6-any)
BivKLD_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
BivKLD/json (API)

# Install 'BivKLD' in R:
install.packages('BivKLD', repos = c('https://s00singla.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

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

1.70 score 1 scripts 241 downloads 6 exports 13 dependencies

Last updated from:4480994848. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK144
source / vignettesOK217
linux-releaseOK118
macos-releaseOK129
macos-oldrelOK213
windows-develOK68
windows-releaseOK61
windows-oldrelOK72
wasm-releaseOK95

Exports:biv_kldbiv_kld_discretebiv_kld_independent_weibullbiv_kld_matrixbiv_kld_normalbiv_kld_pareto2

Dependencies:FNNkernlabKernSmoothkslatticeMatrixmclustmgcvmulticoolmvtnormnlmepracmaRcpp