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-4.7)ecdfHT_0.1.1.zip(r-4.6)ecdfHT_0.1.1.zip(r-4.5)
ecdfHT_0.1.1.tgz(r-4.6-any)ecdfHT_0.1.1.tgz(r-4.5-any)
ecdfHT_0.1.1.tar.gz(r-4.7-any)ecdfHT_0.1.1.tar.gz(r-4.6-any)
ecdfHT_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 230 downloads 16 exports 28 dependencies

Last updated from:b614bcde04. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK159
source / vignettesOK218
linux-release-x86_64OK151
macos-release-arm64OK109
macos-oldrel-arm64OK79
windows-develOK69
windows-releaseOK90
windows-oldrelOK65
wasm-releaseOK151

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

Dependencies:base64encbslibcachemclidigestevaluatefastmapfontawesomefshighrhtmltoolshtmlwidgetsjquerylibjsonliteknitrlifecyclemagrittrmemoisemimeR6rappdirsrglrlangrmarkdownsasstinytexxfunyaml