Alternatives and similar repositories for npcausal:

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

• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆59Updated 4 years ago
• xnie / rlearner
  Quasi-Oracle Estimation of Heterogeneous Treatment Effects
  ☆106Updated 3 years ago
• swager / balanceHD
  Approximately balanced estimation of average treatment effects in high dimensions.
  ☆34Updated 3 years ago
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆78Updated 8 months ago
• soerenkuenzel / causalToolbox
  ☆42Updated 3 years ago
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆26Updated 3 months ago
• alexluedtke12 / pydimple
  ☆14Updated 8 months ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆79Updated 5 months ago
• socket778 / XBCF
  R and python implementations of Accelerated Bayesian Causal Forest.
  ☆25Updated 7 months ago
• anishazaveri / austen_plots
  Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".
  ☆27Updated 3 years ago
• lihualei71 / cfcausal
  R package cfcausal
  ☆27Updated 2 years ago
• osofr / simcausal
  Simulating Longitudinal and Network Data with Causal Inference Applications
  ☆67Updated 7 months ago
• swager / causalForest
  DEPRECATED. See new generalized random forest package for up-to-date implementation.
  ☆52Updated 7 years ago
• grf-labs / sufrep
  Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1
  ☆14Updated 4 years ago
• soerenkuenzel / hte
  ☆31Updated 2 years ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆41Updated 9 months ago
• vdorie / aciccomp
  Code to run submissions for the Atlantic Causal Inference Competition
  ☆42Updated 6 months ago
• carloscinelli / dml.sensemakr
  Sensitivity analysis tools for causal ML
  ☆14Updated 8 months ago
• forestry-labs / causalToolbox
  ☆41Updated 2 years ago
• DoubleML / doubleml-for-r
  DoubleML - Double Machine Learning in R
  ☆137Updated 2 months ago
• MCKnaus / causalDML
  Implementation of Double Machine Learning
  ☆35Updated last year
• MCKnaus / dmlmt
  Double Machine Learning for Multiple Treatments
  ☆39Updated 4 years ago
• nhejazi / medoutcon
  R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
  ☆13Updated 11 months ago
• ngreifer / cobalt
  Covariate Balance Tables and Plots - An R package for assessing covariate balance
  ☆75Updated 10 months ago
• gsbDBI / ds-wgan
  Design of Simulations using WGAN
  ☆49Updated 2 years ago
• liulch / bpCausal
  A package for Bayesian causal inference with time-series cross-sectional data
  ☆26Updated last year
• romainkp / stremr
  Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data
  ☆40Updated 10 months ago
• nhejazi / haldensify
  R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
  ☆17Updated 2 weeks ago
• nt-williams / lmtp
  Non-parametric Causal Effects Based on Modified Treatment Policies
  ☆62Updated last week
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆135Updated 3 months ago