Package: GLMMRR 0.6.0

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

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. <doi:10.1027/1614-2241/a000153>.

Authors:Jean-Paul Fox [aut, cre], Konrad Klotzke [aut], Duco Veen [aut]

GLMMRR_0.6.0.tar.gz
GLMMRR_0.6.0.zip(r-4.7-any)GLMMRR_0.6.0.zip(r-4.6-any)GLMMRR_0.6.0.zip(r-4.5-any)
GLMMRR_0.6.0.tgz(r-4.6-any)GLMMRR_0.6.0.tgz(r-4.5-any)
GLMMRR_0.6.0.tar.gz(r-4.7-any)GLMMRR_0.6.0.tar.gz(r-4.6-any)
GLMMRR_0.6.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
GLMMRR/json (API)

# Install 'GLMMRR' in R:
install.packages('GLMMRR', repos = c('https://jpfox00.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • ETHBE - Online Survey on "Exams and Written Papers"
  • MTURK - MTurk Survey on "Mood and Personality"
  • Plagiarism - An Experimental Survey Measuring Plagiarism Using the Crosswise Model

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 7 scripts 307 downloads 1 mentions 14 exports 15 dependencies

Last updated from:0a3574a7aa. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK146
source / vignettesOK170
linux-release-x86_64OK145
macos-release-arm64OK217
macos-oldrel-arm64OK151
windows-develOK105
windows-releaseOK113
windows-oldrelOK102
wasm-releaseOK91

Exports:getCellMeansgetCellSizesgetMLPrevalencegetRRparametersgetUniqueGroupsintDotplotRRbinomialRRglmRRglmerRRglmGOFRRlink.cauchitRRlink.cloglogRRlink.logitRRlink.probit

Dependencies:bootlatticelme4MASSMatrixminqanlmenloptrrbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlang

Readme and manuals

Help Manual

Help pageTopics
Online Survey on "Exams and Written Papers"ETHBE
Get cell means for unique groups of covariatesgetCellMeans
Get number of units in each cellgetCellSizes
Compute Estimated Population PrevalencegetMLPrevalence
Compute Randomized Response parametersgetRRparameters
Get unique groups of covariatesgetUniqueGroups
MTurk Survey on "Mood and Personality"MTURK
An Experimental Survey Measuring Plagiarism Using the Crosswise ModelPlagiarism
Plot diagnostics for a RRglm objectplot.RRglm
Plot diagnostics for a RRglmerMod objectplot.RRglmerMod
Print RRglmGOF valuesprint.RRglmGOF
Print RRglm summaryprint.summary.RRglm
Print RRglmer summaryprint.summary.RRglmerMod
Accessing GLMMRR Fits for fixed-effect modelsresiduals.RRglm
Accessing GLMMRR Fits for mixed-effect modelsresiduals.RRglmerMod
Binomial family adjusted for Randomized Response parameters.RRbinomial
Fitting Generalized Linear Models with binary Randomized Response dataRRglm
Fitting Generalized Linear Mixed-Effects Models with binary Randomized Response dataRRglmer
Goodness-of-fit statistics for binary Randomized Response dataRRglmGOF
Cauchit link function with Randomized Response parameters.RRlink.cauchit
Log-Log link function with Randomized Response parameters.RRlink.cloglog
Logit link function with Randomized Response parameters.RRlink.logit
Probit link function with Randomized Response parameters.RRlink.probit
Summarizing GLMMRR fits for fixed-effect modelssummary.RRglm
Summarizing GLMMRR fits for fixed-effect modelssummary.RRglmerMod