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-4.7-any)DEEVD_1.2.3.zip(r-4.6-any)DEEVD_1.2.3.zip(r-4.5-any)
DEEVD_1.2.3.tgz(r-4.6-any)DEEVD_1.2.3.tgz(r-4.5-any)
DEEVD_1.2.3.tar.gz(r-4.7-any)DEEVD_1.2.3.tar.gz(r-4.6-any)
DEEVD_1.2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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 328 downloads 3 exports 1 dependencies

Last updated from:bda43675d3. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK95
source / vignettesOK148
linux-releaseOK105
macos-releaseOK77
macos-oldrelOK105
windows-develOK55
windows-releaseOK58
windows-oldrelOK57
wasm-releaseOK84

Exports:GumbelmseWeibull

Dependencies:evd