Alternatives and similar repositories for TutorialComputationalCausalInferenceEstimators

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

• pzivich / publications-code
  Publicly available code from my publications 📝
  ☆16Updated last month
• cran-task-views / CausalInference
  CRAN Task View: Causal Inference
  ☆17Updated last week
• nt-williams / lmtp
  Non-parametric Causal Effects Based on Modified Treatment Policies
  ☆75Updated last month
• migariane / TutorialCausalInferenceEstimators
  Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial
  ☆39Updated 4 years ago
• remlapmot / cibookex-r
  Causal Inference: What If. R and Stata code for Exercises
  ☆90Updated 3 months ago
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆26Updated 10 months ago
• forestry-labs / causalToolbox
  ☆47Updated 2 years ago
• ngreifer / cobalt
  Covariate Balance Tables and Plots - An R package for assessing covariate balance
  ☆79Updated last month
• nhejazi / medoutcon
  R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
  ☆14Updated last week
• eleanormurray / CausalSurvivalAnalysisWorkshop
  ☆42Updated 3 years ago
• ngreifer / WeightIt
  WeightIt: an R package for propensity score weighting
  ☆117Updated 2 weeks ago
• fbargaglistoffi / BCF-IV
  Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression disconti…
  ☆17Updated last year
• kathoffman / steroids-trial-emulation
  Tutorial for a target trial emulation with a time-varying exposure, time-dependent confounding, time-to-event outcome, and Sequentially D…
  ☆53Updated 2 years ago
• ArthurChatton / CausalCookbook
  ☆21Updated 8 months ago
• wxwx1993 / GPSmatching
  R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…
  ☆31Updated 7 months ago
• HugoMetric / causalweight
  causalweight: An R Package for Causal Inference and Mediation Analysis
  ☆13Updated 6 years ago
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆67Updated 4 years ago
• kosukeimai / mediation
  R package mediation
  ☆68Updated 3 months ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆60Updated 11 months ago
• justingrimmer / CausalInf
  This the repository for the Spring Causal Inference Course
  ☆45Updated 6 years ago
• MCKnaus / dmlmt
  Double Machine Learning for Multiple Treatments
  ☆41Updated 4 years ago
• Larsvanderlaan / hte3
  Causal machine learning pipeline using tlverse/sl3
  ☆13Updated last year
• CausalInference / pygformula
  The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-va…
  ☆30Updated last week
• kathoffman / lmtp-tutorial
  Corresponding code guide to the tutorial paper "Introducing longitudinal modified treatment policies: a unified framework for studying c…
  ☆26Updated 2 years ago
• ASKurz / Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
  Translating ML into Bayes, one line at a time
  ☆82Updated 2 years ago
• nhejazi / haldensify
  R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
  ☆18Updated last month
• MCKnaus / causalDML
  Implementation of Double Machine Learning
  ☆36Updated 5 months ago
• liulch / bpCausal
  A package for Bayesian causal inference with time-series cross-sectional data
  ☆26Updated last year
• ajnafa / Bayesian-IPW
  ☆16Updated 3 years ago
• tedwestling / survSuperLearner
  Super learning of conditional survival functions with right-censored time-to-event outcomes in discrete or continuous time.
  ☆13Updated 9 months ago