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MRCV  

Methods for Analyzing Multiple Response Categorical Variables (MRCVs)
View on CRAN: Click here


Download and install MRCV package within the R console
Install from CRAN:
install.packages("MRCV")

Install from Github:
library("remotes")
install_github("cran/MRCV")

Install by package version:
library("remotes")
install_version("MRCV", "0.4-0")



Attach the package and use:
library("MRCV")
Maintained by
Chris Bilder
[Scholar Profile | Author Map]
First Published: 2013-06-23
Latest Update: 2024-10-22
Description:
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) <doi:10.1080/03610910008813665>, Bilder and Loughin (2004) <doi:10.1111/j.0006-341X.2004.00147.x>, Bilder and Loughin (2007) <doi:10.1080/03610920600974419>, and Koziol and Bilder (2014) <https://journal.r-project.org/articles/RJ-2014-014/>.
How to cite:
Chris Bilder (2013). MRCV: Methods for Analyzing Multiple Response Categorical Variables (MRCVs). R package version 0.4-0, https://cran.r-project.org/web/packages/MRCV. Accessed 04 May. 2025.
Previous versions and publish date:
0.1-0 (2013-06-23 09:22), 0.2-0 (2013-10-24 08:34), 0.3-0 (2014-03-26 17:53), 0.3-1 (2014-04-10 21:36), 0.3-2 (2014-07-25 18:42), 0.3-3 (2014-09-04 06:55)
Other packages that cited MRCV R package
View MRCV citation profile
Other R packages that MRCV depends, imports, suggests or enhances
Complete documentation for MRCV
Functions, R codes and Examples using the MRCV R package
Full MRCV package functions and examples
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