The R Journal: article published in 2014, volume 6:1

MRCV: A Package for Analyzing Categorical Variables with Multiple Response Options
Natalie A. Koziol and Christopher R. Bilder , The R Journal (2014) 6:1, pages 144-150.

Abstract Multiple response categorical variables (MRCVs), also known as “pick any” or “choose all that apply” variables, summarize survey questions for which respondents are allowed to select more than one category response option. Traditional methods for analyzing the association between categorical variables are not appropriate with MRCVs due to the within-subject dependence among responses. We have developed the MRCV package as the first R package available to correctly analyze MRCV data. Statistical methods offered by our package include counterparts to traditional Pearson chi-square tests for independence and loglinear models, where bootstrap methods and Rao-Scott adjustments are relied on to obtain valid inferences. We demonstrate the primary functions within the package by analyzing data from a survey assessing the swine waste management practices of Kansas farmers.

Received: 2013-11-22; online 2014-04-19
CRAN packages: MRCV, geepack
CRAN Task Views implied by cited CRAN packages: Econometrics, SocialSciences

This article is licensed under a Creative Commons Attribution 3.0 Unported license .

@article{RJ-2014-014,
  author = {Natalie A. Koziol and Christopher R. Bilder},
  title = {{MRCV: A Package for Analyzing Categorical Variables with
          Multiple Response Options}},
  year = {2014},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2014-014},
  url = {https://doi.org/10.32614/RJ-2014-014},
  pages = {144--150},
  volume = {6},
  number = {1}
}