Alternatives and similar repositories for aciccomp:

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

• ehkennedy / npcausal
  ☆93Updated last year
• xnie / rlearner
  Quasi-Oracle Estimation of Heterogeneous Treatment Effects
  ☆107Updated 3 years ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆79Updated 5 months ago
• soerenkuenzel / causalToolbox
  ☆42Updated 3 years ago
• vdorie / npci
  Non-parametrics for Causal Inference
  ☆43Updated 2 years ago
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆59Updated 4 years ago
• soerenkuenzel / hte
  ☆31Updated 2 years ago
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆78Updated 8 months ago
• anishazaveri / austen_plots
  Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".
  ☆28Updated 3 years ago
• swager / balanceHD
  Approximately balanced estimation of average treatment effects in high dimensions.
  ☆34Updated 3 years ago
• IBM-HRL-MLHLS / IBM-Causal-Inference-Benchmarking-Framework
  Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code
  ☆82Updated 6 years ago
• socket778 / XBCF
  R and python implementations of Accelerated Bayesian Causal Forest.
  ☆25Updated 8 months ago
• osofr / simcausal
  Simulating Longitudinal and Network Data with Causal Inference Applications
  ☆67Updated 7 months ago
• lihualei71 / cfcausal
  R package cfcausal
  ☆27Updated 2 years ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆41Updated 9 months ago
• KColangelo / Double-ML-Continuous-Treatment
  Code for Colangelo and Lee (2025)
  ☆13Updated last month
• forestry-labs / causalToolbox
  ☆41Updated 2 years ago
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆26Updated 3 months ago
• caus-am / jci
  Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)
  ☆16Updated 4 years ago
• christinaheinze / CompareCausalNetworks
  A unified interface for the estimation of causal networks
  ☆22Updated 5 years ago
• migariane / SIM-TMLE-tutorial
  Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017
  ☆16Updated 4 years ago
• MCKnaus / dmlmt
  Double Machine Learning for Multiple Treatments
  ☆40Updated 4 years ago
• fbargaglistoffi / BCF-IV
  Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression disconti…
  ☆16Updated last year
• swager / causalForest
  DEPRECATED. See new generalized random forest package for up-to-date implementation.
  ☆52Updated 7 years ago
• migariane / TutorialComputationalCausalInferenceEstimators
  Tutorial_Computational_Causal_Inference_Estimators
  ☆32Updated 3 years ago
• sachsmc / causaloptim
  An Interface to Specify Causal Graphs and Compute Balke Bounds
  ☆17Updated 2 weeks ago
• ngreifer / WeightIt
  WeightIt: an R package for propensity score weighting
  ☆112Updated this week
• annennenne / causalDisco
  Tools for causal discovery in R
  ☆19Updated last week
• alexluedtke12 / pydimple
  ☆15Updated 9 months ago
• grf-labs / sufrep
  Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1
  ☆14Updated 4 years ago