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

getCellMeansGet cell means for unique groups of covariates
getCellSizesGet number of units in each cell
getMLPrevalenceCompute Estimated Population Prevalence
getRRparametersCompute Randomized Response parameters
getUniqueGroupsGet unique groups of covariates
helloHello, World!
intDotplotInternal function to draw a dotplot
PlagiarismAn Experimental Survey Measuring Plagiarism Using the...
plot.RRglmPlot diagnostics for a RRglm object
plot.RRglmerModPlot diagnostics for a RRglmerMod object
print.RRglmGOFPrint RRglmGOF values
print.summary.RRglmPrint RRglm summary
print.summary.RRglmerModPrint RRglmer summary
residuals.RRglmAccessing GLMMRR Fits for fixed-effect models
residuals.RRglmerModAccessing GLMMRR Fits for mixed-effect models
RRbinomialBinomial family adjusted for Randomized Response parameters.
RRglmFitting Generalized Linear Models with binary Randomized...
RRglmerFitting Generalized Linear Mixed-Effects Models with binary...
RRglmGOFGoodness-of-fit statistics for binary Randomized Response...
RRlink.cauchitCauchit link function with Randomized Response parameters.
RRlink.cloglogLog-Log link function with Randomized Response parameters.
RRlink.logitLogit link function with Randomized Response parameters.
RRlink.probitProbit link function with Randomized Response parameters.
summary.RRglmSummarizing GLMMRR fits for fixed-effect models
summary.RRglmerModSummarizing GLMMRR fits for fixed-effect models
GLMMRR documentation built on May 30, 2017, 3:31 a.m.