Alternatives and similar repositories for CausalFX

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

• sachsmc / causaloptim
  An Interface to Specify Causal Graphs and Compute Balke Bounds
  ☆22Updated 9 months ago
• tedwestling / ctsCausal
  ☆10Updated 3 years ago
• tlverse / tmle3mopttx
  🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention
  ☆13Updated 3 years ago
• tansey / hrt
  The holdout randomization test: feature selection using black box predictive models
  ☆22Updated 4 years ago
• soerenkuenzel / hte
  ☆34Updated 3 years ago
• deaneckles / randomization_inference
  Tutorial in randomization inference, experimental design and analysis, and experiments in networks.
  ☆30Updated 9 years ago
• TaddyLab / gamlr
  Gamma lasso regression
  ☆23Updated 2 years ago
• lihualei71 / cfcausal
  R package cfcausal
  ☆33Updated 3 years ago
• joshuaschwab / ltmle
  Longitudinal Targeted Maximum Likelihood Estimation package
  ☆27Updated 2 years ago
• migariane / SIM-TMLE-tutorial
  Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017
  ☆19Updated 5 years ago
• wfithian / optimal-inference
  repo for "Optimal Inference After Model Selection"
  ☆15Updated 8 years ago
• mlr-org / mcboost
  Multi-Calibration & Multi-Accuracy Boosting for R
  ☆33Updated 4 months ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆50Updated last year
• microsoft / AdversarialGMM
  Minimax Estimation of Conditional Moment Models
  ☆32Updated 2 years ago
• tlverse / tmle3shift
  🎯 Targeted Learning of the Causal Effects of Stochastic Interventions
  ☆17Updated last year
• hcllaw / bdr
  Perform bayesian distribution regression
  ☆13Updated 7 years ago
• TaddyLab / bayesian-forest
  ☆31Updated 9 years ago
• xwshen51 / DistributionalPrincipalAutoencoder
  ☆12Updated last year
• lendle / SuPyLearner
  An implementation of the SuperLearner algorithm in Python based on scikit-learn.
  ☆25Updated 11 years ago
• CausalML / interventions-disparate-impact-responders
  Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds
  ☆11Updated 6 years ago
• mattblackwell / causalsens
  A sensitivity analysis package for causal effects
  ☆12Updated 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
• adamhaber / stan2tfp
  stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…
  ☆25Updated 3 years ago
• bob-carpenter / case-studies
  Case studies in applied and computational statistics.
  ☆39Updated 6 months ago
• osofr / tmlenet
  Targeted Maximum Likelihood Estimation for Network Data
  ☆20Updated 8 years ago
• heike / stat590f
  Topics in statistical computing @ ISU
  ☆18Updated 10 years ago
• luisdamiano / BayesHMM
  Full Bayesian Inference for Hidden Markov Models
  ☆43Updated 6 years ago
• patr1ckm / mvtboost
  Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.
  ☆36Updated 7 years ago
• benkeser / drtmle
  Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests
  ☆20Updated 2 years ago
• shuyang-stat / multilevelMatching
  Propensity score Matching and Subclassification with 3 or more Treatments
  ☆21Updated 6 years ago