Package: ercv 1.0.1
ercv: Fitting Tails by the Empirical Residual Coefficient of Variation
Provides a methodology simple and trustworthy for the analysis of extreme values and multiple threshold tests for a generalized Pareto distribution, together with an automatic threshold selection algorithm. See del Castillo, J, Daoudi, J and Lockhart, R (2014) <doi:10.1111/sjos.12037>.
Authors:
ercv_1.0.1.tar.gz
ercv_1.0.1.zip(r-4.5)ercv_1.0.1.zip(r-4.4)ercv_1.0.1.zip(r-4.3)
ercv_1.0.1.tgz(r-4.4-any)ercv_1.0.1.tgz(r-4.3-any)
ercv_1.0.1.tar.gz(r-4.5-noble)ercv_1.0.1.tar.gz(r-4.4-noble)
ercv_1.0.1.tgz(r-4.4-emscripten)ercv_1.0.1.tgz(r-4.3-emscripten)
ercv.pdf |ercv.html✨
ercv/json (API)
| # Install 'ercv' in R: |
| install.packages('ercv', repos = c('https://iserram.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:77db65e5be. Checks:OK: 3 NOTE: 4. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 15 2024 |
| R-4.5-win | NOTE | Nov 15 2024 |
| R-4.5-linux | NOTE | Nov 15 2024 |
| R-4.4-win | NOTE | Nov 15 2024 |
| R-4.4-mac | NOTE | Nov 15 2024 |
| R-4.3-win | OK | Nov 15 2024 |
| R-4.3-mac | OK | Nov 15 2024 |
Exports:ccdfplotcieviconfint.fitpotcvevicvplotegpdevicvfitpotfrcvppotprint.fitpotprint.summary.fitpotqpotsummary.fitpottdatathrselectTmTms.pvalue
Dependencies:
