Package: kdevine 0.4.5
kdevine: Multivariate Kernel Density Estimation with Vine Copulas
Implements the vine copula based kernel density estimator of Nagler and Czado (2016) <doi:10.1016/j.jmva.2016.07.003>. The estimator does not suffer from the curse of dimensionality and is therefore well suited for high-dimensional applications.
Authors:
kdevine_0.4.5.tar.gz
kdevine_0.4.5.zip(r-4.5)kdevine_0.4.5.zip(r-4.4)kdevine_0.4.5.zip(r-4.3)
kdevine_0.4.5.tgz(r-4.4-x86_64)kdevine_0.4.5.tgz(r-4.4-arm64)kdevine_0.4.5.tgz(r-4.3-x86_64)kdevine_0.4.5.tgz(r-4.3-arm64)
kdevine_0.4.5.tar.gz(r-4.5-noble)kdevine_0.4.5.tar.gz(r-4.4-noble)
kdevine_0.4.5.tgz(r-4.4-emscripten)kdevine_0.4.5.tgz(r-4.3-emscripten)
kdevine.pdf |kdevine.html✨
kdevine/json (API)
NEWS
| # Install 'kdevine' in R: |
| install.packages('kdevine', repos = c('https://tnagler.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tnagler/kdevine/issues
- wdbc - Wisconsin Diagnostic Breast Cancer
Last updated 5 months agofrom:83d4feb75b. Checks:OK: 7 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 10 2024 |
| R-4.5-win-x86_64 | NOTE | Nov 10 2024 |
| R-4.5-linux-x86_64 | NOTE | Nov 10 2024 |
| R-4.4-win-x86_64 | OK | Nov 10 2024 |
| R-4.4-mac-x86_64 | OK | Nov 10 2024 |
| R-4.4-mac-aarch64 | OK | Nov 10 2024 |
| R-4.3-win-x86_64 | OK | Nov 10 2024 |
| R-4.3-mac-x86_64 | OK | Nov 10 2024 |
| R-4.3-mac-aarch64 | OK | Nov 10 2024 |
Exports:dkde1ddkdevinedkdevinecopkde1dkdevinekdevinecoppkde1dqkde1drkde1drkdevinerkdevinecop
Dependencies:ADGofTestcctoolscodetoolsdoParallelforeachiteratorskdecopulaKernSmoothlatticelocfitMASSmvtnormqrngquadprogRcppRcppArmadilloVineCopula
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Kernel Smoothing for Bivariate Copula Densities | kdevine-package |
| Contour plots of pair copula kernel estimates | contour.kdevinecop |
| Working with a kde1d object | dkde1d pkde1d pkde1d, qkde1d qkde1d, rkde1d |
| Evaluate the density of a kdevine object | dkdevine |
| Working with a 'kdevinecop' object | dkdevinecop dkevinecop rkdevinecop |
| Univariate kernel density estimation for bounded and unbounded support | kde1d |
| Kernel density estimatior based on simplified vine copulas | kdevine |
| Kernel estimation of vine copula densities | kdevinecop |
| Plotting kde1d objects | lines.kde1d plot.kde1d |
| Simulate from a kdevine object | rkdevine |
| Wisconsin Diagnostic Breast Cancer (WDBC) | wdbc |
