R for data science: a book

An R package for causal inference in time series

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

TensorFlow for R

Visualizations of distributions and uncertainty

Time series analysis in the `tidyverse`

One day course on causal inference, MPI-EVA 9 September 2021

Celery worker for R tasks! Celery ↔️ R

Multidimensional Iterative Proportional Fitting and Alternative Models

This network estimation procedure combines l1-regularized logistic regression with model selection based on the Extended Bayesian Information Criterion to identify relevant symptom-symptom relation…