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-4.7-x86_64)eiPack_0.2-2.zip(r-4.7-arm64)eiPack_0.2-2.zip(r-4.6-x86_64)eiPack_0.2-2.zip(r-4.6-arm64)eiPack_0.2-2.zip(r-4.5-x86_64)
eiPack_0.2-2.tgz(r-4.6-x86_64)eiPack_0.2-2.tgz(r-4.6-arm64)eiPack_0.2-2.tgz(r-4.5-x86_64)eiPack_0.2-2.tgz(r-4.5-arm64)
eiPack_0.2-2.tar.gz(r-4.7-arm64)eiPack_0.2-2.tar.gz(r-4.7-x86_64)eiPack_0.2-2.tar.gz(r-4.6-arm64)eiPack_0.2-2.tar.gz(r-4.6-x86_64)
eiPack_0.2-2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
eiPack/json (API)

# Install 'eiPack' in R:

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

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.

2.14 score 1 packages 46 scripts 661 downloads 1 mentions 13 exports 19 dependencies

Last updated from:2e79b66427. Checks:13 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	NOTE	76
linux-devel-x86_64	NOTE	96
source / vignettes	OK	181
linux-release-arm64	NOTE	80
linux-release-x86_64	NOTE	109
macos-release-arm64	NOTE	180
macos-release-x86_64	NOTE	336
macos-oldrel-arm64	NOTE	183
macos-oldrel-x86_64	NOTE	301
windows-devel-arm64	NOTE	404
windows-devel-x86_64	NOTE	110
windows-release-arm64	NOTE	314
windows-release-x86_64	NOTE	92
windows-oldrel-x86_64	NOTE	91
wasm-release	OK	95

Exports:bounds cover.plot densityplot ei.MD.bayes ei.reg ei.reg.bayes lambda.MD lambda.reg lambda.reg.bayes mergeMD plot.bounds read.betas tuneMD

Dependencies:cli coda expm generics glue lattice lifecycle magrittr MASS Matrix msm mvtnorm pillar pkgconfig rlang survival tibble utf8 vctrs

Citation

Readme and manuals

Help Manual

Help page	Topics
Deterministic bounds for units satisfying row thresholds	bounds
Unit-level coverage plots for beta parameters from MD EI model	cover.plot coverage
Density plots for population level parameters	densityplot densityplot.lambdaMD densityplot.lambdaReg densityplot.lambdaRegBayes
Multinomial Dirichlet model for Ecological Inference in RxC tables	ei.MD.bayes
Ecological regression	ei.reg
Ecological regression using Bayesian Normal regression	ei.reg.bayes
Calculate shares using data from MD model	lambda.MD
Calculate shares using data from regression model	lambda.reg
Calculate shares using data from Bayesian regression model	lambda.reg.bayes
Combine output from multiple eiMD objects	mergeMD
Plot of deterministic bounds for units satisfying row thresholds	plot plot.bounds
Function to read in eiMD parameter chains saved to disk	read.betas
Redistricting Monte-Carlo data	redistrict
Party registration in south-east North Carolina	senc
Tuning parameters for alpha hyperpriors in RxC EI model	tuneA
Tuning parameters for the precinct level parameters in the RxC EI model	tuneB
Generate tuning parameters for MD model	tuneMD

Package: eiPack 0.2-2

eiPack: Ecological Inference and Higher-Dimension Data Management

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)