Package: kdecopula 0.9.2

Thomas Nagler

kdecopula: Kernel Smoothing for Bivariate Copula Densities

Provides fast implementations of kernel smoothing techniques for bivariate copula densities, in particular density estimation and resampling, see Nagler (2018) <doi:10.18637/jss.v084.i07>.

Authors:Thomas Nagler [aut, cre], Kuangyu Wen [ctb]

kdecopula_0.9.2.tar.gz
kdecopula_0.9.2.tar.gz(r-4.5-noble)kdecopula_0.9.2.tar.gz(r-4.4-noble)
kdecopula_0.9.2.tgz(r-4.4-emscripten)kdecopula_0.9.2.tgz(r-4.3-emscripten)
kdecopula.pdf |kdecopula.html✨
kdecopula/json (API)
NEWS

# Install 'kdecopula' in R:
install.packages('kdecopula', repos = 'https://cloud.r-project.org')

Bug tracker:https://github.com/tnagler/kdecopula/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • wdbc - Wisconsin Diagnostic Breast Cancer

On CRAN:

Conda-Forge:

openblascpp

3.21 score 1 packages 1.1k downloads 13 exports 6 dependencies

Last updated 7 years agofrom:3702af996e. Checks:1 OK, 1 NOTE. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 03 2025
R-4.5-linux-x86_64NOTEMar 03 2025

Exports:bw_betabw_mrbw_tbw_tllbw_tll_nnbw_tt_cvbw_tt_pidep_measuresdkdecophkdecopkdecoppkdecoprkdecop

Dependencies:latticelocfitqrngquadprogRcppRcppArmadillo

kdecopula

Rendered fromkdecopula.pdf.asisusingR.rsp::asison Mar 03 2025.

Last update: 2017-04-11
Started: 2016-02-16