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GLMMRR  

Generalized Linear Mixed Model (GLMM) for Binary Randomized Response Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("GLMMRR", "0.6.0")



Attach the package and use:
library("GLMMRR")
Maintained by
Konrad Klotzke
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-03-09
Latest Update:
Description:
Generalized Linear Mixed Model (GLMM) for Binary Randomized Response Data. Includes Cauchit, Compl. Log-Log, Logistic, and Probit link functions for Bernoulli Distributed RR data. RR Designs: Warner, Forced Response, Unrelated Question, Kuk, Crosswise, and Triangular. Reference: Fox, J-P, Veen, D. and Klotzke, K. (2018). Generalized Linear Mixed Models for Randomized Responses. Methodology. .
How to cite:
Konrad Klotzke (2016). GLMMRR: Generalized Linear Mixed Model (GLMM) for Binary Randomized Response Data. R package version 0.6.0, https://cran.r-project.org/web/packages/GLMMRR. Accessed 07 Mar. 2026.
Previous versions and publish date:
0.1.1 (2016-03-09 09:13), 0.1.2 (2016-03-10 00:18), 0.2.0 (2016-08-09 01:17), 0.5.0 (2021-01-13 15:50)
Other packages that cited GLMMRR R package
View GLMMRR citation profile
Other R packages that GLMMRR depends, imports, suggests or enhances
Complete documentation for GLMMRR
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