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GLMMRR: Generalized Linear Mixed Model (GLMM) for Binary Randomized Response Data

For further information on the project see the accompying research paper and the CRAN repository.

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Version

Install

install.packages('GLMMRR')

Monthly Downloads

219

Version

0.6.0

License

GPL-3

Maintainer

Jean-Paul Fox

Last Published

September 18th, 2025

Functions in GLMMRR (0.6.0)

getCellSizes

Get number of units in each cell
Plagiarism

An Experimental Survey Measuring Plagiarism Using the Crosswise Model
RRlink.cauchit

Cauchit link function with Randomized Response parameters.
RRbinomial

Binomial family adjusted for Randomized Response parameters.
RRlink.cloglog

Log-Log link function with Randomized Response parameters.
RRlink.logit

Logit link function with Randomized Response parameters.
RRglm

Fitting Generalized Linear Models with binary Randomized Response data
RRglmGOF

Goodness-of-fit statistics for binary Randomized Response data
RRglmer

Fitting Generalized Linear Mixed-Effects Models with binary Randomized Response data
getCellMeans

Get cell means for unique groups of covariates
print.RRglmGOF

Print RRglmGOF values
plot.RRglmerMod

Plot diagnostics for a RRglmerMod object
RRlink.probit

Probit link function with Randomized Response parameters.
ETHBE

Online Survey on "Exams and Written Papers"
MTURK

MTurk Survey on "Mood and Personality"
getUniqueGroups

Get unique groups of covariates
getRRparameters

Compute Randomized Response parameters
residuals.RRglm

Accessing GLMMRR Fits for fixed-effect models
plot.RRglm

Plot diagnostics for a RRglm object
intDotplot

Internal function to draw a dotplot
print.summary.RRglm

Print RRglm summary
residuals.RRglmerMod

Accessing GLMMRR Fits for mixed-effect models
summary.RRglmerMod

Summarizing GLMMRR fits for fixed-effect models
summary.RRglm

Summarizing GLMMRR fits for fixed-effect models
getMLPrevalence

Compute Estimated Population Prevalence
print.summary.RRglmerMod

Print RRglmer summary