R: Ecological Inference and Higher-Dimension Data Management

# Ecological Inference and Higher-Dimension Data Management

## Documentation for package ‘eiPack’ version 0.2-2

- DESCRIPTION file
- Code demos. Use demo() to run them.

## Help Pages

bounds | Deterministic bounds for units satisfying row thresholds
cover.plot | Unit-level coverage plots for beta parameters from MD EI model
coverage | Unit-level coverage plots for beta parameters from MD EI model
densityplot | Density plots for population level parameters
densityplot.lambdaMD | Density plots for population level parameters
densityplot.lambdaReg | Density plots for population level parameters
densityplot.lambdaRegBayes | Density plots for population level parameters
ei.MD.bayes | Multinomial Dirichlet model for Ecological Inference in RxC tables
ei.reg | Ecological regression
ei.reg.bayes | Ecological regression using Bayesian Normal regression
lambda.MD | Calculate shares using data from MD model
lambda.reg | Calculate shares using data from regression model
lambda.reg.bayes | Calculate shares using data from Bayesian regression model
mergeMD | Combine output from multiple eiMD objects
plot | Plot of deterministic bounds for units satisfying row thresholds
plot.bounds | Plot of deterministic bounds for units satisfying row thresholds
read.betas | Function to read in eiMD parameter chains saved to disk
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
tuneMD | Generate tuning parameters for MD model