9 citations · 18 across the 4 of their papers we have counts for
4 papers
Bayesian Covariance Structure Modeling of Multi-Way Nested Data
Stef Baas, Richard J. Boucherie, Jean-Paul Fox
A Bayesian multivariate model with a structured covariance matrix for multi-way nested data is proposed. This flexible modeling framework allows for positive and for negative assoc…
Generalized Linear Randomized Response Modeling using GLMMRR
Jean-Paul Fox, Konrad Klotzke, Duco Veen
Randomized response (RR) designs are used to collect response data about sensitive behaviors (e.g., criminal behavior, sexual desires). The modeling of RR data is more complex, sin…
LNIRT: An R Package for Joint Modeling of Response Accuracy and Times
Jean-Paul Fox, Konrad Klotzke, Ahmet Salih Simsek
In \textit{computer-based testing} it has become standard to collect response accuracy (RA) and response times (RTs) for each test item. IRT models are used to measure a latent var…
BFpack: Flexible Bayes Factor Testing of Scientific Theories in R
Joris Mulder, Xin Gu, Anton Olsson-Collentine +10
There has been a tremendous methodological development of Bayes factors for hypothesis testing in the social and behavioral sciences, and related fields. This development is due to…