Package: ewp 0.1.2

ewp: An Empirical Model for Underdispersed Count Data

Count regression models for underdispersed small counts (lambda < 20) based on the three-parameter exponentially weighted Poisson distribution of Ridout & Besbeas (2004) <doi:10.1191/1471082X04st064oa>.

Authors:Philipp Boersch-Supan [aut, cre], James Clarke [aut]

ewp_0.1.2.tar.gz
ewp_0.1.2.zip(r-4.7)ewp_0.1.2.zip(r-4.6)ewp_0.1.2.zip(r-4.5)
ewp_0.1.2.tgz(r-4.6-x86_64)ewp_0.1.2.tgz(r-4.6-arm64)ewp_0.1.2.tgz(r-4.5-x86_64)ewp_0.1.2.tgz(r-4.5-arm64)
ewp_0.1.2.tar.gz(r-4.7-arm64)ewp_0.1.2.tar.gz(r-4.7-x86_64)ewp_0.1.2.tar.gz(r-4.6-arm64)ewp_0.1.2.tar.gz(r-4.6-x86_64)
ewp_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ewp/json (API)
NEWS

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

Bug tracker:https://github.com/pboesu/ewp/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

cpp

2.70 score 7 scripts 133 downloads 5 exports 3 dependencies

Last updated from:c926fe1f64. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK205
linux-devel-x86_64OK164
source / vignettesOK213
linux-release-arm64OK153
linux-release-x86_64OK173
macos-release-arm64OK106
macos-release-x86_64OK348
macos-oldrel-arm64OK124
macos-oldrel-x86_64OK201
windows-develOK171
windows-releaseOK163
windows-oldrelOK140
wasm-releaseOK167

Exports:dewp3dewp3_cppewp_regmmeanrewp3

Dependencies:BHmvtnormRcpp