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
Author: Javaria Ahmad Khan, Atif Akbar.
Maintainer: Javaria Ahmad Khan <jakhan0 at yahoo.com>
License: GPL-2
URL: https://CRAN.R-project.org/package=DEEVD
NeedsCompilation: no
CRAN checks: DEEVD results

Documentation:

Reference manual: DEEVD.pdf

Downloads:

Package source: DEEVD_1.2.3.tar.gz
Windows binaries: r-devel: DEEVD_1.2.2.zip, r-release: DEEVD_1.2.2.zip, r-oldrel: DEEVD_1.2.2.zip
macOS binaries: r-release (arm64): DEEVD_1.2.2.tgz, r-release (x86_64): DEEVD_1.2.2.tgz, r-oldrel: DEEVD_1.2.2.tgz
Old sources: DEEVD archive

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