jtextor / dagittyLinks
Graphical analysis of structural causal models / graphical causal models.
☆320Updated 10 months ago
Alternatives and similar repositories for dagitty
Users that are interested in dagitty are comparing it to the libraries listed below
Sorting:
- One day course on causal inference, MPI-EVA 9 September 2021☆249Updated 3 years ago
 - An R package for working with causal directed acyclic graphs (DAGs)☆453Updated 2 months ago
 - bayesplot R package for plotting Bayesian models☆438Updated last week
 - Regression and other stories R examples☆345Updated 5 months ago
 - A collection of visual guides to help applied scientists learn causal inference.☆284Updated 3 years ago
 - Inference case studies in knitr☆169Updated 3 years ago
 - Drawing graphical models for causal inference using LaTeX☆118Updated 2 years ago
 - R Wrapper for Tetrad Library☆35Updated last year
 - rstanarm R package for Bayesian applied regression modeling☆399Updated this week
 - R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 clas…☆571Updated 2 weeks ago
 - Materials from Stan conferences☆255Updated 5 years ago
 - The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-v…☆181Updated 5 months ago
 - Projection predictive variable selection☆112Updated this week
 - The bookdown version lives here: https://bookdown.org/content/3890☆412Updated 2 years ago
 - loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)☆155Updated this week
 - ☆160Updated 7 months ago
 - Current version of the SuperLearner R package☆284Updated last year
 - Solutions for the practice problems☆146Updated 5 years ago
 - Causal Inference in R: A book!☆230Updated 2 weeks ago
 - simple and scalable statistical modelling in R☆590Updated last month
 - The posterior R package☆168Updated this week
 - CmdStan, the command line interface to Stan☆232Updated this week
 - Case studies on model assessment, model selection and inference after model selection☆170Updated last year
 - Probability and Statistics: a simulation-based introduction. An open-access book.☆321Updated 2 years ago
 - Inside every classical test there is a Bayesian model trying to get out.☆327Updated 9 years ago
 - The base NIMBLE package for R☆184Updated this week
 - Explaining the output of machine learning models with more accurately estimated Shapley values☆170Updated this week
 - an R package for structural equation modeling and more☆481Updated this week
 - Causal Inference using Bayesian Additive Regression Trees☆84Updated 3 months ago
 - BayesFactor R package for Bayesian data analysis with common statistical models.☆132Updated last year