eiPack (version 0.1-7)

lambda.MD: Calculate shares using data from MD model

Description

Calculates the population share of row members in a particular column as a proportion of the total number of row members in the selected subset of columns.

Usage

lambda.MD(object, columns, ret.mcmc = TRUE)

Arguments

object

an R object of class eiMD, output from ei.MD.bayes

columns

a character vector of column names to be included in calculating the shares

ret.mcmc

a logical value indicating how the samples from the posterior should be returned. If TRUE (default), samples are returned as mcmc objects. If FALSE, samples are returned as arrays.

Value

Returns either a (($R$ * included columns) $x$ samples) matrix as an mcmc object or a ($R x$ included columns $x$ samples) array.

Details

This function allows users to define subpopulations within the data and calculate the proportion of individuals within each of the columns that defines that subpopulation. For example, if the model includes the groups Democrat, Republican, and Unaffiliated, the argument columns = c(``Democrat", ``Republican") will calculate the two-party shares of Democrats and Republicans for each row.

See Also

ei.MD.bayes