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eiPack (version 0.1-7)

eiPack: Ecological Inference and Higher-Dimension Data Management

Description

Provides methods for analyzing RxC 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.

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Version

Install

install.packages('eiPack')

Monthly Downloads

885

Version

0.1-7

License

GPL (>= 2)

Maintainer

Olivia Lau

Last Published

January 13th, 2012

Functions in eiPack (0.1-7)

mergeMD

Combine output from multiple eiMD objects
ei.reg

Ecological regression
ei.reg.bayes

Ecological regression using Bayesian Normal regression
tuneB

Tuning parameters for the precinct level parameters in the RxC EI model
read.betas

Function to read in eiMD parameter chains saved to disk
density.plot

Density plots for population level parameters
redistrict

Redistricting Monte-Carlo data
tuneMD

Generate tuning parameters for MD model
lambda.reg

Calculate shares using data from regression model
lambda.MD

Calculate shares using data from MD model
cover.plot

Unit-level coverage plots for beta parameters from MD EI model
bounds

Deterministic bounds for units satisfying row thresholds
tuneA

Tuning parameters for alpha hyperpriors in RxC EI model
plot.bounds

Plot of deterministic bounds for units satisfying row thresholds
ei.MD.bayes

Multinomial Dirichlet model for Ecological Inference in RxC tables
lambda.reg.bayes

Calculate shares using data from Bayesian regression model
senc

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