Alternatives and similar repositories for rlearner

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

• ehkennedy / npcausal
  ☆95Updated last year
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆83Updated last month
• soerenkuenzel / causalToolbox
  ☆43Updated 4 years ago
• stablemarkets / BayesianTutorials
  Implementing MCMC sampling from scratch in R for various Bayesian models
  ☆109Updated last year
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆67Updated 4 years ago
• grf-labs / sufrep
  Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1
  ☆16Updated 5 years ago
• vdorie / aciccomp
  Code to run submissions for the Atlantic Causal Inference Competition
  ☆42Updated last year
• ngreifer / WeightIt
  WeightIt: an R package for propensity score weighting
  ☆117Updated last month
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆82Updated last month
• fbargaglistoffi / BCF-IV
  Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression disconti…
  ☆17Updated last year
• forestry-labs / causalToolbox
  ☆45Updated 2 years ago
• DoubleML / doubleml-for-r
  DoubleML - Double Machine Learning in R
  ☆151Updated 5 months ago
• CausalInference / gfoRmula
  The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-v…
  ☆178Updated 3 months ago
• MCKnaus / dmlmt
  Double Machine Learning for Multiple Treatments
  ☆41Updated 4 years ago
• osofr / simcausal
  Simulating Longitudinal and Network Data with Causal Inference Applications
  ☆70Updated last year
• swager / balanceHD
  Approximately balanced estimation of average treatment effects in high dimensions.
  ☆35Updated 4 years ago
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆26Updated 9 months ago
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆148Updated 10 months ago
• ebenmichael / augsynth
  Augmented Synthetic Control Method
  ☆159Updated 7 months ago
• ngreifer / cobalt
  Covariate Balance Tables and Plots - An R package for assessing covariate balance
  ☆78Updated 3 weeks ago
• eleanormurray / causalgraphs_latex
  Drawing graphical models for causal inference using LaTeX
  ☆117Updated 2 years ago
• xuyiqing / gsynth
  Generalized Synthetic Control Method
  ☆143Updated 5 months ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆48Updated last year
• jantonelli111 / HDconfounding
  R package to implement high-dimensional confounding adjustment using continuous spike and slab priors
  ☆10Updated 5 years ago
• soerenkuenzel / hte
  ☆34Updated 3 years ago
• susanathey / causalTree
  Working repository for Causal Tree and extensions
  ☆446Updated 5 months ago
• nhejazi / medoutcon
  R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
  ☆13Updated last week
• MCKnaus / causalDML
  Implementation of Double Machine Learning
  ☆36Updated 4 months ago
• BS1125 / CMAverse
  A suite of functions for reproducible causal mediation analyses
  ☆63Updated 6 months ago
• gsbDBI / ExperimentData
  ☆237Updated 2 years ago