foodstamp.case: Participation in the federal food stamp program.

In BinaryEPPM: Mean and Variance Modeling of Binary Data

Description

The dependent variable is a binary variable indicating participation in the federal food stamp program. The independent variables are two binary ones i.e., tenancy and supplemental income, and a continuous one of the log(monthly income+1).

Usage

data("foodstamp.case")

Format

A data frame with 150 observations on the following 6 variables.

participation

a numeric vector

tenancy

a numeric vector

suppl.income

a numeric vector

income

a numeric vector

n

a numeric vector

weights1

a numeric vector

Source

Rousseeuw P, Croux C, Todorov V, Ruckstuhl A, Salibian-Barrera M, Verbeke T, Koller M, Maechler M (2016). robustbase: Basic Robust Statistics. R package version 0.92-6, http://robustbase.r-forge.r-project.org/.

References

Kunsch HR, Stefanski LA, Carroll RJ (1989). Conditionally Unbiased Bounded-Influence Estimation in General Regression Models, with Applications to Generalized Linear Models. Journal of the American Statistical Association, 84(406), 460-466. doi: 10.1080/01621459.1989.10478791.

Examples

data(foodstamp.case)

BinaryEPPM documentation built on July 31, 2019, 5:08 p.m.