CRAN/E | GLMMRR

GLMMRR

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

Installation

About

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.

Key Metrics

Version 0.5.0
R ≥ 3.5.0
Published 2021-01-13 1198 days ago
Needs compilation? no
License GPL-3
CRAN checks GLMMRR results

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Maintainer

Maintainer

Konrad Klotzke

omd.bms.utwente.stats@gmail.com

Authors

Jean-Paul Fox

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Konrad Klotzke

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Duco Veen

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Material

Reference manual
Package source

In Views

Psychometrics

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

GLMMRR archive

Depends

R ≥ 3.5.0
lme4
methods

Imports

lattice
stats
utils
grDevices
RColorBrewer