Package: reldist 1.7-2

reldist: Relative Distribution Methods

Tools for the comparison of distributions. This includes nonparametric estimation of the relative distribution PDF and CDF and numerical summaries as described in "Relative Distribution Methods in the Social Sciences" by Mark S. Handcock and Martina Morris, Springer-Verlag, 1999, Springer-Verlag, ISBN 0387987789.

Authors:Mark S. Handcock <[email protected]>

reldist_1.7-2.tar.gz
reldist_1.7-2.zip(r-4.7-any)reldist_1.7-2.zip(r-4.6-any)reldist_1.7-2.zip(r-4.5-any)
reldist_1.7-2.tgz(r-4.6-any)reldist_1.7-2.tgz(r-4.5-any)
reldist_1.7-2.tar.gz(r-4.7-any)reldist_1.7-2.tar.gz(r-4.6-any)
reldist_1.7-2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
reldist/json (API)

# Install 'reldist' in R:
install.packages('reldist', repos = c('https://handcock.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/handcock/reldist/issues

Datasets:
  • original - Permanent wage growth in two cohorts of the NLS
  • precipitation - Annual Precipitation in US Cities
  • recent - Permanent wage growth in two cohorts of the NLS

On CRAN:

Conda:

6.88 score 1 stars 8 packages 418 scripts 1.5k downloads 15 mentions 19 exports 55 dependencies

Last updated from:33b40f498d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK228
source / vignettesOK185
linux-release-x86_64OK214
macos-release-arm64OK157
macos-oldrel-arm64OK147
windows-develOK205
windows-releaseOK183
windows-oldrelOK193
wasm-releaseOK145

Exports:bgk_kdeentropyginiiqrrcdistrddatarddistrdecilesrdsampreally.missingreldistresplotrmdatarpluyrpywtd.iqrwtd.meanwtd.quantilewtd.var

Dependencies:abindbackportsBHcallrcheckmateclicpp11densEstBayesdescdistributionalfarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmgcvnlmenumDerivotelpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppArmadilloRcppEigenRcppParallelrlangrstanrstantoolsS7scalesStanHeaderstensorAtibbleutf8vctrsviridisLitewithr