Package: GECal 0.1.7

GECal: Generalized Entropy Calibration

Generalized Entropy Calibration produces calibration weights using generalized entropy as the objective function for optimization. This approach, as implemented in the 'GECal' package, is based on Kwon, Kim, and Qiu (2024) <doi:10.48550/arXiv.2404.01076>. 'GECal' incorporates design weights into the constraints to maintain design consistency, rather than including them in the objective function itself.

Authors:Yonghyun Kwon [aut, cre], Jae Kwang Kim [aut], Yumou Qiu [aut]

GECal_0.1.7.tar.gz
GECal_0.1.7.zip(r-4.7-any)GECal_0.1.7.zip(r-4.6-any)GECal_0.1.7.zip(r-4.5-any)
GECal_0.1.7.tgz(r-4.6-any)GECal_0.1.7.tgz(r-4.5-any)
GECal_0.1.7.tar.gz(r-4.7-any)GECal_0.1.7.tar.gz(r-4.6-any)
GECal_0.1.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
GECal/json (API)

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

Bug tracker:https://github.com/yonghyun-k/gecal/issues

Datasets:
  • IAdata - Synthetic pesticides data in Iowa
  • IApimat - A matrix used for variance estimation in IAdata

On CRAN:

Conda:

3.00 score 2 stars 277 downloads 3 exports 1 dependencies

Last updated from:87f26c6955. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK111
source / vignettesOK168
linux-releaseOK109
macos-releaseOK162
macos-oldrelOK196
windows-develOK74
windows-releaseOK61
windows-oldrelOK65
wasm-releaseOK100

Exports:estimategGEcalib

Dependencies:nleqslv