paul-buerkner

2019_DAGStat_Stan_Tutorial

Bayesian-IRT-paper

This repository contains all materials for the paper "Bayesian Item Response Modelling in R Using brms and Stan" by Paul Bürkner.

brms

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

custom-brms-families

R scripts for custom brms families

LFO-CV-paper

monotonic-effects-paper

This repository contains a manuscript in which we introduce monotonic effects.

paul-buerkner.github.io

Website of Paul Bürkner

psis-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".

SPM-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.

thurstonianIRT

Fit Thurstonian IRT models in R using Stan, lavaan, or Mplus

paul-buerkner/brms

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

paul-buerkner/thurstonianIRT

Fit Thurstonian IRT models in R using Stan, lavaan, or Mplus

paul-buerkner/Bayesian-IRT-paper

This repository contains all materials for the paper "Bayesian Item Response Modelling in R Using brms and Stan" by Paul Bürkner.

paul-buerkner/LFO-CV-paper

paul-buerkner/custom-brms-families

R scripts for custom brms families

paul-buerkner/2019_DAGStat_Stan_Tutorial

paul-buerkner/monotonic-effects-paper

This repository contains a manuscript in which we introduce monotonic effects.

paul-buerkner/paul-buerkner.github.io

Website of Paul Bürkner

paul-buerkner/psis-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".

paul-buerkner/SPM-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.

paul-buerkner/bayesnec

Bayesian No-Effect-Concentration estimation in R

paul-buerkner/non-factorized-loo

LOO for non-factorizable normal models

paul-buerkner/bayes-workflow-book

Source files for the book "Bayesian Workflow Using Stan"

paul-buerkner/Bayesian-sparse-PCE

paul-buerkner/bayesim

paul-buerkner/blme

Bayesian Linear Mixed Effect Models

paul-buerkner/brms-multilevel-paper

This repository contains reproduction material for the paper "Advanced Bayesian Multilevel Modeling with the R Package brms" by Paul-Christian Bürkner as published in the R Journal.

paul-buerkner/ggplot2

An implementation of the Grammar of Graphics in R

paul-buerkner/m-step-ahead-predictions

m-step-ahead-predictions using PSIS

paul-buerkner/multilevelcoda

multilevelcoda R package for Bayesian compositional multilevel modelling

paul-buerkner/papaja

papaja (Preparing APA Journal Articles) is an R package that provides document formats and helper functions to produce complete APA manscripts from RMarkdown-files (PDF and Word documents).

paul-buerkner/stroop_effect_variation

Analyse between person variation of the Stroop effect

paul-buerkner/webSDM

Model and predicts species accounting for their known trophic interaction network