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:John P Nolan <[email protected]>

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-4.5-any)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'))

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 5 scripts 154 downloads 16 exports 29 dependencies

Last updated 9 years agofrom:b614bcde04. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 30 2025
R-4.5-winOKMar 30 2025
R-4.5-macOKMar 30 2025
R-4.5-linuxOKMar 30 2025
R-4.4-winOKMar 30 2025
R-4.4-macOKMar 30 2025
R-4.4-linuxOKMar 30 2025
R-4.3-winOKMar 30 2025
R-4.3-macOKMar 30 2025

Exports:decdfHTecdfHTecdfHT.2decdfHT.2d.axesecdfHT.axesecdfHT.drawecdfHT.fitecdfHT.fit.tailsecdfHT.gecdfHT.hecdfHT.multivarecdfHT.multivar.transformlp.normpecdfHTqecdfHTrecdfHT

Dependencies:base64encbslibcachemclidigestevaluatefastmapfontawesomefsgluehighrhtmltoolshtmlwidgetsjquerylibjsonliteknitrlifecyclemagrittrmemoisemimeR6rappdirsrglrlangrmarkdownsasstinytexxfunyaml