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:
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')) |
- 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
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:2e79b66427. Checks:OK: 4 NOTE: 5. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 07 2024 |
| R-4.5-win-x86_64 | NOTE | Nov 07 2024 |
| R-4.5-linux-x86_64 | NOTE | Nov 07 2024 |
| R-4.4-win-x86_64 | NOTE | Nov 07 2024 |
| R-4.4-mac-x86_64 | NOTE | Nov 07 2024 |
| R-4.4-mac-aarch64 | NOTE | Nov 07 2024 |
| R-4.3-win-x86_64 | OK | Nov 07 2024 |
| R-4.3-mac-x86_64 | OK | Nov 07 2024 |
| R-4.3-mac-aarch64 | OK | Nov 07 2024 |
Exports:boundscover.plotdensityplotei.MD.bayesei.regei.reg.bayeslambda.MDlambda.reglambda.reg.bayesmergeMDplot.boundsread.betastuneMD
Dependencies:clicodaexpmfansigenericsgluelatticelifecyclemagrittrMASSMatrixmsmmvtnormpillarpkgconfigrlangsurvivaltibbleutf8vctrs
