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brms. brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
1.4kthurstonianIRT. Fit Thurstonian IRT models in R using Stan, lavaan, or Mplus
37Bayesian-IRT-paper. This repository contains all materials for the paper "Bayesian Item Response Modelling in R Using brms and Stan" by Paul Bürkner.
32LFO-CV-paper. HTML
15custom-brms-families. R scripts for custom brms families
14monotonic-effects-paper. This repository contains a manuscript in which we introduce monotonic effects.
72019_DAGStat_Stan_Tutorial. Stan
7paul-buerkner.github.io. Website of Paul Bürkner
5psis-non-factorized-paper. The repository contains all the materials related to the paper "Efficient leave-one-out cross-validation for Bayesian non-factorized normal and Student-t models".
4SPM-IRT-models. This repository contains all materials for the paper "Analysing Standard Progressive Matrics (SPM-LS) with Bayesian Item Response Models" by Paul Bürkner and Marie Beisemann.
3non-factorized-loo. LOO for non-factorizable normal models
2bayesnec. Bayesian No-Effect-Concentration estimation in R
2bayes-workflow-book. Source files for the book "Bayesian Workflow Using Stan"
1Bayesian-sparse-PCE. R
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