lambda.MD {eiPack} | R Documentation

## 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.

### 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.

### Value

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

### Author(s)

Michael Kellermann <kellerm@post.harvard.edu> and Olivia Lau <olivia.lau@post.harvard.edu>

### See Also

`ei.MD.bayes`

[Package eiPack version 0.1-6 Index]