Alternatives and similar repositories for hte

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

• migariane / SIM-TMLE-tutorial
  Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017
  ☆19Updated 5 years ago
• sachsmc / causaloptim
  An Interface to Specify Causal Graphs and Compute Balke Bounds
  ☆22Updated 9 months ago
• osofr / simcausal
  Simulating Longitudinal and Network Data with Causal Inference Applications
  ☆70Updated last year
• benkeser / survtmle
  Targeted Learning for Survival Analysis
  ☆23Updated 2 years ago
• thuizhou / PSweight
  ☆27Updated last year
• tlverse / tmle3
  🎯🎓 Generalized Targeted Learning Framework
  ☆41Updated 5 months ago
• benkeser / drtmle
  Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests
  ☆20Updated 2 years ago
• joshuaschwab / ltmle
  Longitudinal Targeted Maximum Likelihood Estimation package
  ☆27Updated 2 years ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆84Updated 4 months ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆60Updated last year
• romainkp / stremr
  Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data
  ☆41Updated last year
• williazo / mvGPS
  Tools for estimating causal effects for multivariate continuous exposures
  ☆13Updated 4 years ago
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆27Updated last year
• ck37 / varimpact
  Variable importance through targeted causal inference, with Alan Hubbard
  ☆59Updated last month
• nhejazi / medoutcon
  R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
  ☆14Updated 2 months ago
• saberpowers / causalLearning
  Methods for heterogeneous treatment effect estimation
  ☆24Updated 3 years ago
• ehkennedy / npcausal
  ☆95Updated last year
• lihualei71 / cfcausal
  R package cfcausal
  ☆33Updated 3 years ago
• rmcelreath / glmer2stan
  Define Stan models using glmer-style (lme4) formulas
  ☆55Updated 11 years ago
• swager / balanceHD
  Approximately balanced estimation of average treatment effects in high dimensions.
  ☆35Updated 4 years ago
• soerenkuenzel / causalToolbox
  ☆44Updated 4 years ago
• tedwestling / ctsCausal
  ☆10Updated 3 years ago
• patr1ckm / mvtboost
  Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.
  ☆36Updated 7 years ago
• Larsvanderlaan / hte3
  Causal machine learning pipeline using tlverse/sl3
  ☆13Updated last year
• kapelner / bartMachine
  An R-Java Bayesian Additive Regression Trees implementation
  ☆62Updated last year
• shftan / surfin
  Statistical Inference for Random Forests
  ☆19Updated 6 years ago
• osofr / tmlenet
  Targeted Maximum Likelihood Estimation for Network Data
  ☆20Updated 8 years ago
• deaneckles / randomization_inference
  Tutorial in randomization inference, experimental design and analysis, and experiments in networks.
  ☆30Updated 9 years ago
• vdorie / treatSens
  ☆16Updated last year
• nt-williams / lmtp
  Non-parametric Causal Effects Based on Modified Treatment Policies
  ☆75Updated last month