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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "MRCV" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'MRCV: Methods for Analyzing Multiple Response Categorical Variables (MRCVs)'
version: 0.4-0
doi: 10.32614/CRAN.package.MRCV
abstract: Provides functions for analyzing the association between one single response
  categorical variable (SRCV) and one multiple response categorical variable (MRCV),
  or between two or three MRCVs. A modified Pearson chi-square statistic can be used
  to test for marginal independence for the one or two MRCV case, or a more general
  loglinear modeling approach can be used to examine various other structures of association
  for the two or three MRCV case. Bootstrap- and asymptotic-based standardized residuals
  and model-predicted odds ratios are available, in addition to other descriptive
  information. Statisical methods implemented are described in Bilder et al. (2000)
  <https://doi.org/10.1080/03610910008813665>, Bilder and Loughin (2004) <https://doi.org/10.1111/j.0006-341X.2004.00147.x>,
  Bilder and Loughin (2007) <https://doi.org/10.1080/03610920600974419>, and Koziol
  and Bilder (2014) <https://journal.r-project.org/articles/RJ-2014-014/>.
authors:
- family-names: Koziol
  given-names: Natalie
- family-names: Bilder
  given-names: Chris
  email: bilder@unl.edu
repository: https://CRAN.R-project.org/package=MRCV
date-released: '2024-10-18'
contact:
- family-names: Bilder
  given-names: Chris
  email: bilder@unl.edu