Package: eiPack 0.2-2

eiPack: Ecological Inference and Higher-Dimension Data Management

Provides methods for analyzing R by C ecological contingency tables using the extreme case analysis, ecological regression, and Multinomial-Dirichlet ecological inference models. Also provides tools for manipulating higher-dimension data objects.

Authors:Olivia Lau <[email protected]>, Ryan T. Moore <[email protected]>, Michael Kellermann <[email protected]>

eiPack_0.2-2.tar.gz
eiPack_0.2-2.zip(r-4.5)eiPack_0.2-2.zip(r-4.4)eiPack_0.2-2.zip(r-4.3)
eiPack_0.2-2.tgz(r-4.4-x86_64)eiPack_0.2-2.tgz(r-4.4-arm64)eiPack_0.2-2.tgz(r-4.3-x86_64)eiPack_0.2-2.tgz(r-4.3-arm64)
eiPack_0.2-2.tar.gz(r-4.5-noble)eiPack_0.2-2.tar.gz(r-4.4-noble)
eiPack_0.2-2.tgz(r-4.4-emscripten)eiPack_0.2-2.tgz(r-4.3-emscripten)
eiPack.pdf |eiPack.html
eiPack/json (API)

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

Peer review:

Datasets:
  • redistrict - Redistricting Monte-Carlo data
  • senc - Party registration in south-east North Carolina
  • tuneA - Tuning parameters for alpha hyperpriors in RxC EI model
  • tuneB - Tuning parameters for the precinct level parameters in the RxC EI model

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

13 exports 0.71 score 8 dependencies 1 dependents 1 mentions 27 scripts 1.3k downloads

Last updated 2 years agofrom:2e79b66427. Checks:OK: 4 NOTE: 5. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 08 2024
R-4.5-win-x86_64NOTESep 08 2024
R-4.5-linux-x86_64NOTESep 08 2024
R-4.4-win-x86_64NOTESep 08 2024
R-4.4-mac-x86_64NOTESep 08 2024
R-4.4-mac-aarch64NOTESep 08 2024
R-4.3-win-x86_64OKSep 08 2024
R-4.3-mac-x86_64OKSep 08 2024
R-4.3-mac-aarch64OKSep 08 2024

Exports:boundscover.plotdensityplotei.MD.bayesei.regei.reg.bayeslambda.MDlambda.reglambda.reg.bayesmergeMDplot.boundsread.betastuneMD

Dependencies:codaexpmlatticeMASSMatrixmsmmvtnormsurvival