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.
- Version0.5.0
- R version≥ 3.5.0
- LicenseGPL-3
- Needs compilation?No
- Last release01/13/2021
Documentation
Team
Konrad Klotzke
Jean-Paul Fox
Show author detailsRolesAuthorDuco Veen
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- Depends3 packages
- Imports5 packages