paul-buerkner Goto Github PK
Name: Paul-Christian Bürkner
Type: User
Location: Department of Statistics, TU Dortmund University
Name: Paul-Christian Bürkner
Type: User
Location: Department of Statistics, TU Dortmund University
Source files for the book "Bayesian Workflow Using Stan"
This repository contains all materials for the paper "Bayesian Item Response Modelling in R Using brms and Stan" by Paul Bürkner.
Bayesian No-Effect-Concentration estimation in R
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
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.
R scripts for custom brms families
An implementation of the Grammar of Graphics in R
m-step-ahead-predictions using PSIS
This repository contains a manuscript in which we introduce monotonic effects.
multilevelcoda R package for Bayesian compositional multilevel modelling
LOO for non-factorizable normal models
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).
Website of Paul Bürkner
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".
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.
Analyse between person variation of the Stroop effect
Fit Thurstonian IRT models in R using Stan, lavaan, or Mplus
Model and predicts species accounting for their known trophic interaction network
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.