DEEVD: Density Estimation by Extreme Value Distributions

Provides mean squared error (MSE) and plot the kernel densities related to extreme value distributions with their estimated values. By using Gumbel and Weibull Kernel. See Salha et al. (2014) <doi:10.4236/ojs.2014.48061> and Khan and Akbar (2021) <doi:10.4236/ojs.2021.112018 >.

Version: 1.2.3
Depends: R (≥ 2.10)
Imports: evd
Published: 2021-11-28
DOI: 10.32614/CRAN.package.DEEVD
Author: Javaria Ahmad Khan, Atif Akbar.
Maintainer: Javaria Ahmad Khan <jakhan0 at>
License: GPL-2
NeedsCompilation: no
CRAN checks: DEEVD results


Reference manual: DEEVD.pdf


Package source: DEEVD_1.2.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): DEEVD_1.2.3.tgz, r-oldrel (arm64): DEEVD_1.2.3.tgz, r-release (x86_64): DEEVD_1.2.3.tgz, r-oldrel (x86_64): DEEVD_1.2.3.tgz
Old sources: DEEVD archive


Please use the canonical form to link to this page.