Alternatives and similar repositories for bcf

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

• socket778 / XBCF
  R and python implementations of Accelerated Bayesian Causal Forest.
  ☆25Updated last year
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆68Updated 5 years ago
• ehkennedy / npcausal
  ☆96Updated 2 years ago
• lihualei71 / cfcausal
  R package cfcausal
  ☆33Updated 3 years ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆85Updated 6 months ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago
• alexluedtke12 / pydimple
  ☆22Updated last year
• pzivich / Delicatessen
  Delicatessen: the Python one-stop sandwich (variance) shop 🥪
  ☆30Updated last week
• xnie / rlearner
  Quasi-Oracle Estimation of Heterogeneous Treatment Effects
  ☆120Updated 4 years ago
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆86Updated 6 months ago
• stablemarkets / BayesianTutorials
  Implementing MCMC sampling from scratch in R for various Bayesian models
  ☆111Updated 2 years ago
• migariane / TutorialCausalInferenceEstimators
  Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial
  ☆39Updated 5 years ago
• vdorie / dbarts
  Discrete Bayesian Additive Regression Trees Sampler
  ☆61Updated 3 months ago
• osofr / simcausal
  Simulating Longitudinal and Network Data with Causal Inference Applications
  ☆69Updated last year
• theodds / SoftBART
  ☆33Updated 4 months ago
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆27Updated last year
• helske / walker
  Bayesian Generalized Linear Models with Time-Varying Coefficients
  ☆45Updated last year
• swager / balanceHD
  Approximately balanced estimation of average treatment effects in high dimensions.
  ☆35Updated 4 years ago
• MaggieLieu / STAN_tutorials
  ☆31Updated 5 years ago
• soerenkuenzel / causalToolbox
  ☆44Updated 4 years ago
• forestry-labs / causalToolbox
  ☆48Updated 3 years ago
• nhejazi / haldensify
  R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
  ☆18Updated 5 months ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆60Updated last year
• lorismichel / drf
  Distributional Random Forests (Cevid et al., 2020)
  ☆45Updated 2 weeks ago
• wbnicholson / BigVAR
  Dimension Reduction Methods for Multivariate Time Series
  ☆61Updated 8 months ago
• MCKnaus / dmlmt
  Double Machine Learning for Multiple Treatments
  ☆41Updated 5 years ago
• wxwx1993 / GPSmatching
  R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…
  ☆34Updated 11 months ago
• JuanLopezMartin / MRPCaseStudy
  An introduction to Multilevel Modeling and Poststratification (MRP) and some of its extensions.
  ☆41Updated 3 years ago
• CausalInference / pygformula
  The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-va…
  ☆31Updated 2 months ago
• sachsmc / causaloptim
  An Interface to Specify Causal Graphs and Compute Balke Bounds
  ☆22Updated 11 months ago