fdabl

Intro-Stats

Introductory Workshop to (Bayesian) Statistics

fdabl.github.io

Personal website

Centrality-Causality

Supplementary Materials of Dablander & Hinne (2019).

Early-Warning

bfvartest

R package to compare independent population variances using Bayes factors

Productivity-Workshop

Analyzing-CSSS

Contains data and analysis code concerning collaborations at the Santa Fe Complex Systems Summer School (2005 - 2019)

Covid-Overview

Equilibrium-Causal-Models

JEPS-Workshop

MCMCP

VStatistic.jl

Covid-Exit

Shiny app to explore exit strategies using the model developed by De Vlas & Coffeng (2020)

Covid-Forecast

Shiny app to explore forecasts and interventions using the model developed by van Wees et al. (2020a, 2020b)

Proportion-Puzzle

BayesFactorExtras

Extra functions for use with the BayesFactor R package

Climate-Engagement-Scientists

CopulaFactorModel

Inference for Gaussian copula factor models and its application to causal discovery.

Early-Warning-Covid

EEGpaper

jasp-desktop

JASP aims to be a complete statistical package for both Bayesian and Frequentist statistical methods, that is easy to use and familiar to users of SPSS

knitr-jekyll

Automatically knit R Markdown documents, build them with Jekyll, and serve the website with servr locally

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pcalg

:exclamation: This is a read-only mirror of the CRAN R package repository. pcalg — Methods for Graphical Models and Causal Inference. Homepage: http://pcalg.r-forge.r-project.org/

r4ds

R for data science

rethinking

Statistical Rethinking course and book package

seirsplus

Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.

Sum-Score-Paper

TCM-Analysis

Turing.jl

The Turing language for probabilistic programming