Alternatives and similar repositories for CausalCookbook

Users that are interested in CausalCookbook are comparing it to the libraries listed below

• andrewheiss / bayesf22.classes.andrewheiss.com
  📊 🌐 🧑‍🏫 Website for PhD-level independent readings course on Bayesian statistics with R and Stan, built with Quarto
  ☆40Updated 2 years ago
• mgoplerud / vglmer
  Variational Generalized Linear Mixed Effects Regression
  ☆19Updated 3 weeks ago
• andrewheiss / bayesf22-notebook
  ☆18Updated 2 years ago
• aalthous / RCT-Simulations
  Introduction to simulation of randomized controlled trials in R
  ☆25Updated 3 years ago
• nt-williams / mlr3superlearner
  Super learner fitting and prediction using mlr3
  ☆10Updated 4 months ago
• saudiwin / ordbetareg_pack
  Repository for R package ordbetareg, used to fit continuous data with lower and upper bounds.
  ☆21Updated 5 months ago
• Larsvanderlaan / hte3
  Causal machine learning pipeline using tlverse/sl3
  ☆12Updated last year
• eleanormurray / CausalSurvivalAnalysisWorkshop
  ☆41Updated 3 years ago
• ajnafa / Bayesian-IPW
  ☆16Updated 3 years ago
• giabaio / BCEA
  Bayesian Cost Effectiveness Analysis. Given the results of a Bayesian model (possibly based on MCMC) in the form of simulations from the …
  ☆47Updated this week
• cran-task-views / CausalInference
  CRAN Task View: Causal Inference
  ☆17Updated last year
• remiroazocar / BMHEstan
  Bayesian methods in health economics in Stan (Florence course)
  ☆10Updated 6 years ago
• ajnafa / Latent-Bayesian-MSM
  Taking Uncertainty Seriously: Bayesian Marginal Structural Models for Causal Inference in Political Science
  ☆19Updated 2 years ago
• nhejazi / medoutcon
  R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
  ☆13Updated last week
• simonpcouch / tidymodels-uw-2023
  Source and slides for "Why you should be using tidymodels" at UW-Madison
  ☆18Updated last year
• RuBBiT-hj / causalBETA
  Development for Bayesian Survival Models Package
  ☆19Updated 2 weeks ago
• nhejazi / haldensify
  R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
  ☆18Updated 5 months ago
• r-causal / tipr
  An R package for conducting sensitivity analyses for unmeasured confounders
  ☆41Updated last year
• MJAlexander / intro_bayes_workshop
  Materials for intro to Bayesian models
  ☆15Updated last year
• marklhc / usc-psyc621-notes
  Course Notes for PSYC 621 (Bayesian Data Analaysis, 2019 Fall)
  ☆15Updated 5 years ago
• edrubin / EC524W22
  Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2022) Taug…
  ☆20Updated 3 years ago
• edrubin / EC607S22
  Causal-inference oriented doctoral econometrics course at UO
  ☆14Updated 3 years ago
• kathoffman / swimmer-plots
  Slides for my R/Medicine 2022 talk, "Making Swimmer Plots for Longitudinal Data using {ggplot}".
  ☆11Updated 2 years ago
• JasjeetSekhon / Matching
  ☆26Updated 9 months ago
• mclements / microsimulation
  R package for microsimulation
  ☆40Updated last month
• SurgicalInformatics / healthyr_demos
  ☆13Updated 2 months ago
• openpharma / workshop-r-swe-md
  Good Software Engineering Practice for R Packages @ Rockville, MD
  ☆11Updated last year
• r-causal / causalworkshop
  Install Workshop Materials for Causal Inference in R
  ☆22Updated 11 months ago
• malcolmbarrett / causal_inference_r_workshop_solutions
  ☆27Updated 11 months ago
• justingrimmer / CausalInf
  This the repository for the Spring Causal Inference Course
  ☆44Updated 6 years ago