Alternatives and similar repositories for CausalInf:

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

• jrnold / qss-tidy
  tidyverse code for QSS
  ☆37Updated 4 years ago
• mattblackwell / DirectEffects
  An R package for estimating controlled direct effects.
  ☆18Updated last month
• kolesarm / Robust-Small-Sample-Standard-Errors
  Degrees of freedom adjustments for robust standard errors described in Imbens and Kolesár (2016, Review of Economics and Statistics)
  ☆31Updated 4 months ago
• xuyiqing / interflex
  Multiplicative Interaction Models Diagnostics and Visualization, Producing Flexible Marginal Effect Estimates
  ☆35Updated 3 weeks ago
• insongkim / wfe
  ☆20Updated 5 years ago
• kosukeimai / CBPS
  R package: CBPS
  ☆27Updated 3 years ago
• leeper / pdfcount
  An R Shiny App to Count Words in a PDF Document
  ☆30Updated 2 years ago
• kosukeimai / FindIt
  R package FindIt
  ☆14Updated last year
• nhejazi / medoutcon
  R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
  ☆13Updated last year
• andrewheiss / closing-backdoors-dags
  Use regression, inverse probability weighting, and matching to close confounding backdoors and find causation in observational data
  ☆13Updated 5 years ago
• acoppock / ri2
  Randomization Inference for Randomized Experiments
  ☆12Updated 8 months ago
• RobertMyles / IRT
  IRT ideal point models in R using Stan
  ☆23Updated 5 years ago
• andrewheiss / heiss-causal-inference
  Chapter on causal inference for *R for Political Data Science: A Practical Guide*
  ☆42Updated 3 years ago
• justingrimmer / ModelInference
  Slides and homework for model based inference
  ☆13Updated 7 years ago
• kathoffman / lmtp-tutorial
  Corresponding code guide to the tutorial paper "Introducing longitudinal modified treatment policies: a unified framework for studying c…
  ☆23Updated last year
• egap / methods-guides
  EGAP methods guides
  ☆21Updated 8 months ago
• JosepER / Book_How_to_weight_a_survey
  This is an introductory guide to survey weighting. It provides a step-by-step walkthrough of the main procedures and explains the statist…
  ☆37Updated 6 years ago
• liulch / bpCausal
  A package for Bayesian causal inference with time-series cross-sectional data
  ☆26Updated last year
• johnson-shuffle / mixtape-code
  Code for Causal Inference: The Mixtape by Scott Cunningham
  ☆27Updated 6 years ago
• tlverse / tmle3
  🎯🎓 Generalized Targeted Learning Framework
  ☆39Updated 5 months ago
• ManuelNeumann / MNLpred
  This package includes functions that return predictions from estimates of multinomial logistic models. The function uses models that were…
  ☆12Updated 3 years ago
• kosukeimai / experiment
  R package experiment
  ☆14Updated 3 years ago
• MatthieuStigler / RDDtools
  R package for Regresssion Design Discontinuity
  ☆37Updated last year
• mattblackwell / inters
  Tools for estimating interactions
  ☆14Updated 2 years ago
• swager / optrdd
  Optimized regression discontinuity designs
  ☆29Updated 2 years ago
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆26Updated 5 months ago
• ArthurChatton / CausalCookbook
  ☆21Updated 3 months ago
• leeper / cregg
  Simple Conjoint Analyses, Tidying, and Visualization
  ☆52Updated 4 years ago
• julianhinz / R_glmhdfe
  Fast Estimation of GLMs with High-Dimensional Fixed Effects
  ☆29Updated 3 years ago
• adamlauretig / AMEN_models_in_stan
  Implementation of Shahryar Minhas, Peter Hoff, and Mike Ward's AMEN models for network data in stan
  ☆16Updated 3 years ago