Package: extremefit 1.1.0
extremefit: Estimation of Extreme Conditional Quantiles and Probabilities
Extreme value theory, nonparametric kernel estimation, tail conditional probabilities, extreme conditional quantile, adaptive estimation, quantile regression, survival probabilities.
Authors:
extremefit_1.1.0.tar.gz
extremefit_1.1.0.zip(r-4.7-any)extremefit_1.1.0.zip(r-4.6-any)extremefit_1.1.0.zip(r-4.5-any)
extremefit_1.1.0.tgz(r-4.6-any)extremefit_1.1.0.tgz(r-4.5-any)
extremefit_1.1.0.tar.gz(r-4.7-any)extremefit_1.1.0.tar.gz(r-4.6-any)
extremefit_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
extremefit/json (API)
| # Install 'extremefit' in R: |
| install.packages('extremefit', repos = c('https://kevinjaunatre.r-universe.dev', 'https://cloud.r-project.org')) |
- dataOyster - High-frequency noninvasive valvometry data
- dataWind - Wind speed for Brest
- LoadCurve - Load curve of an habitation
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:7b9d4e2696. Checks:8 OK, 1 ERROR. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 100 | ||
| source / vignettes | ERROR | 155 | ||
| linux-release | OK | 96 | ||
| macos-release | OK | 143 | ||
| macos-oldrel | OK | 231 | ||
| windows-devel | OK | 61 | ||
| windows-release | OK | 71 | ||
| windows-oldrel | OK | 67 | ||
| wasm-release | OK | 72 |
Exports:bandwidth.CVbandwidth.gridBiweight.kernelbootCIbootCI.tscox.adaptCriticalValuedburrdparetodparetomixEpa.kernelGaussian.kernelgoftestgoftest.hill.adaptgoftest.hill.tshillhill.adapthill.tspburrplot.hillplot.hill.adaptpparetopparetoCPpparetomixpredict.cox.adaptpredict.hillpredict.hill.adaptpredict.hill.tsprint.hill.tsprobgridqburrqparetoqparetoCPqparetomixrburrrburr.dependentRectangular.kernelrparetorparetoCPrparetomixTriang.kernelTruncGauss.kernelwecdfwquantile
Dependencies:
Last update: 2018-12-19
Started: 2018-12-19