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↙️ ↘️ An R package for working with causal directed acyclic graphs (DAGs)

causact: R package to accelerate computational Bayesian inference workflows in R through interactive visualization of models and their output.

Snakemake Econ R ⭐ 35

reproducible research project template for R using Renv and snakemake with an econ application

Shinydag ⭐ 30

a Shiny app to create/visualize/analyze causal diagrams (DAGs)

Causalqueries ⭐ 22

Bayesian inference from binary causal models

Causaloptim ⭐ 13

An Interface to Specify Causal Graphs and Compute Balke Bounds

R package for building flexible workflows

Probability ⭐ 10

Visual representations of statistics and probability concepts.

Quantifying interactions with government services to support delivery teams to improve their own products and services

Causalxtreme ⭐ 9

An R package for causal discovery in heavy-tailed models

Simmixeddag ⭐ 7

The simMixedDAG package enables simulation of "real life" datasets from DAGs

Causal Discovery with Equal Variance Assumption

the new version of LUCID

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