eleanormurray / causalgraphs_latex
Drawing graphical models for causal inference using LaTeX
☆116Updated last year
Alternatives and similar repositories for causalgraphs_latex:
Users that are interested in causalgraphs_latex are comparing it to the libraries listed below
- ☆78Updated last year
- Repository for Introduction to Bayesian Estimation of Causal Effects☆60Updated 4 years ago
- Regression and Other Stories - Tidyverse Examples☆100Updated 3 years ago
- 🎯 Targeted Learning in R: A Causal Data Science Handbook☆59Updated 5 months ago
- Translating ML into Bayes, one line at a time☆78Updated last year
- Causal Inference using Bayesian Additive Regression Trees☆79Updated 6 months ago
- ☆93Updated last year
- Suite of sensitivity analysis tools for OLS☆94Updated 4 months ago
- The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-v…☆168Updated 2 weeks ago
- Regression models and utilities for repeated measures and panel data☆101Updated last year
- Simulating Longitudinal and Network Data with Causal Inference Applications☆68Updated 8 months ago
- Causal Inference: What If. R and Stata code for Exercises☆90Updated last month
- Building a Survival Model in Stan.☆57Updated last year
- Working through "Regression and other stories," one chapter at a time☆55Updated last year
- Replication code and downloadable example data sets for The Effect☆196Updated 3 years ago
- By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.☆67Updated 4 years ago
- Covariate Balance Tables and Plots - An R package for assessing covariate balance☆76Updated this week
- simstudy: Illuminating research methods through data generation☆82Updated 8 months ago
- DoubleML - Double Machine Learning in R☆142Updated this week
- Inference case studies in knitr☆167Updated 2 years ago
- Causal Inference in R: A book!☆213Updated last week
- Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial☆38Updated 4 years ago
- powerlmm R package for power calculations for two- and three-level longitudinal multilevel/linear mixed models.☆103Updated last year
- Tutorial files to accompany Sorensen, Hohenstein, and Vasishth paper: http://www.ling.uni-potsdam.de/~vasishth/statistics/BayesLMMs.html☆83Updated 8 years ago
- Projection predictive variable selection☆112Updated last week
- Causal Inference in R Workshop☆196Updated 7 months ago
- Survival analysis in health economic evaluation Contains a suite of functions to systematise the workflow involving survival analysis in…☆43Updated last week
- 'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)☆65Updated 4 years ago
- A complete environment for Bayesian inference within R☆93Updated last year
- ☆32Updated 3 years ago