Package: ecdfHT 0.1.1
ecdfHT: Empirical CDF for Heavy Tailed Data
Computes and plots a transformed empirical CDF (ecdf) as a diagnostic for heavy tailed data, specifically data with power law decay on the tails. Routines for annotating the plot, comparing data to a model, fitting a nonparametric model, and some multivariate extensions are given.
Authors:
ecdfHT_0.1.1.tar.gz
ecdfHT_0.1.1.zip(r-4.5)ecdfHT_0.1.1.zip(r-4.4)ecdfHT_0.1.1.zip(r-4.3)
ecdfHT_0.1.1.tgz(r-4.4-any)ecdfHT_0.1.1.tgz(r-4.3-any)
ecdfHT_0.1.1.tar.gz(r-4.5-noble)ecdfHT_0.1.1.tar.gz(r-4.4-noble)
ecdfHT_0.1.1.tgz(r-4.4-emscripten)ecdfHT_0.1.1.tgz(r-4.3-emscripten)
ecdfHT.pdf |ecdfHT.html✨
ecdfHT/json (API)
| # Install 'ecdfHT' in R: |
| install.packages('ecdfHT', repos = c('https://jpnolan.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 8 years agofrom:b614bcde04. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-win | OK | Oct 31 2024 |
| R-4.5-linux | OK | Oct 31 2024 |
| R-4.4-win | OK | Oct 31 2024 |
| R-4.4-mac | OK | Oct 31 2024 |
| R-4.3-win | OK | Oct 31 2024 |
| R-4.3-mac | OK | Oct 31 2024 |
Exports:decdfHTecdfHTecdfHT.2decdfHT.2d.axesecdfHT.axesecdfHT.drawecdfHT.fitecdfHT.fit.tailsecdfHT.gecdfHT.hecdfHT.multivarecdfHT.multivar.transformlp.normpecdfHTqecdfHTrecdfHT
Dependencies:base64encbslibcachemclidigestevaluatefastmapfontawesomefsgluehighrhtmltoolshtmlwidgetsjquerylibjsonliteknitrlifecyclemagrittrmemoisemimeR6rappdirsrglrlangrmarkdownsasstinytexxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| ecdfHT: A package to plot an empirical cdf for heavy tailed data | ecdfHT-package |
| Plot a transformed empirical cdf | ecdfHT |
| Graph and annotate an ecdfHT plot | ecdfHT.axes ecdfHT.draw ecdfHT.g ecdfHT.h |
| Fit heavy tailed data with a semi-parameteric model | ecdfHT.fit ecdfHT.fit.tails |
| Multivariate extensions of transformed empirical cdf plot | ecdfHT.2d ecdfHT.2d.axes ecdfHT.multivar ecdfHT.multivar.transform lp.norm |
| Compute cdf, pdf, quantiles, and simulate from a fitted distribution | decdfHT pecdfHT qecdfHT recdfHT |
