Package: DEEVD 1.2.3

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 >.

Authors:Javaria Ahmad Khan, Atif Akbar.

DEEVD_1.2.3.tar.gz
DEEVD_1.2.3.zip(r-4.5)DEEVD_1.2.3.zip(r-4.4)DEEVD_1.2.3.zip(r-4.3)
DEEVD_1.2.3.tgz(r-4.5-any)DEEVD_1.2.3.tgz(r-4.4-any)DEEVD_1.2.3.tgz(r-4.3-any)
DEEVD_1.2.3.tar.gz(r-4.5-noble)DEEVD_1.2.3.tar.gz(r-4.4-noble)
DEEVD_1.2.3.tgz(r-4.4-emscripten)DEEVD_1.2.3.tgz(r-4.3-emscripten)
DEEVD.pdf |DEEVD.html
DEEVD/json (API)

# Install 'DEEVD' in R:
install.packages('DEEVD', repos = c('https://jahmadkhan.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • Mississippi - Flood discharge in per second from Mississippi river
  • Rhone - Flood discharge in per second from Rhone river
  • Suicide - Data of control patients of Suicide study

On CRAN:

Conda:

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

1.00 score 254 downloads 3 exports 1 dependencies

Last updated 3 years agofrom:bda43675d3. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 12 2025
R-4.5-winOKMar 12 2025
R-4.5-macOKMar 12 2025
R-4.5-linuxOKMar 12 2025
R-4.4-winOKMar 12 2025
R-4.4-macOKMar 12 2025
R-4.4-linuxOKMar 12 2025
R-4.3-winOKMar 12 2025
R-4.3-macOKMar 12 2025

Exports:GumbelmseWeibull

Dependencies:evd