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:
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-4.4-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')) |
- 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
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:bda43675d3. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 13 2024 |
| R-4.5-win | OK | Sep 13 2024 |
| R-4.5-linux | OK | Sep 13 2024 |
| R-4.4-win | OK | Sep 13 2024 |
| R-4.4-mac | OK | Sep 13 2024 |
| R-4.3-win | OK | Sep 13 2024 |
| R-4.3-mac | OK | Sep 13 2024 |
Dependencies:evd
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| DEEVD | DEEVD-package DEEVD |
| Estimate Density Values by Gumbel kernel | Gumbel |
| Flood discharge in per second from Mississippi river | Mississippi |
| Calculate Mean Square Error( MSE) by using Extreme value distributions | mse |
| Density Plot by Gumbel kernel | plot.Gumbel |
| Density Plot by Weibull kernel | plot.Weibull |
| Flood discharge in per second from Rhone river | Rhone |
| Data of control patients of Suicide study | Suicide |
| Estimated Density Values by Weibull kernel | Weibull |
