Alternatives and similar repositories for orthoml:

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

• MCKnaus / causalDML
  Implementation of Double Machine Learning
  ☆35Updated last year
• swager / balanceHD
  Approximately balanced estimation of average treatment effects in high dimensions.
  ☆34Updated 3 years ago
• swager / optrdd
  Optimized regression discontinuity designs
  ☆29Updated 2 years ago
• keihirano / modern-sampling
  Course Materials for AEA Short Course on Modern Sampling Methods
  ☆28Updated 3 years ago
• KDiazOrdaz / Machine-learning-in-policy-evaluation-new-tools-for-causal-inference
  This is the repository holding the code used to perform the analysis used in the manuscript "Machine learning in policy evaluation: new t…
  ☆10Updated 5 years ago
• soerenkuenzel / causalToolbox
  ☆42Updated 3 years ago
• QuantLet / Meta_learner-for-Causal-ML
  This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods…
  ☆33Updated 3 weeks ago
• MCKnaus / dmlmt
  Double Machine Learning for Multiple Treatments
  ☆39Updated 4 years ago
• kwuthrich / scinference
  Inference for synthetic controls
  ☆39Updated 3 years ago
• nppackages / scpi
  Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.
  ☆32Updated 2 weeks ago
• MCKnaus / CATEs
  Machine Learning Estimation of Heterogeneous Causal Effects
  ☆24Updated 3 years ago
• hammadshaikhha / Causal-Inference-Mastery
  Notes and simulations on graduate level causal inference in statistics with applications to social sciences.
  ☆23Updated 5 years ago
• xuyiqing / fect
  fixed effect counterfactual estimators
  ☆62Updated this week
• VC2015 / DMLonGitHub
  ☆21Updated 6 years ago
• jeremylhour / hdmetrics
  Machine Learning for Econometrics -- ENSAE Paris
  ☆22Updated 4 years ago
• liulch / bpCausal
  A package for Bayesian causal inference with time-series cross-sectional data
  ☆26Updated last year
• mwelz / GenericML
  R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).
  ☆65Updated 3 weeks ago
• carloscinelli / dml.sensemakr
  Sensitivity analysis tools for causal ML
  ☆14Updated 8 months ago
• susanathey / MCPanel
  Matrix Completion Methods for Causal Panel Data Models
  ☆96Updated 3 years ago
• mmeierer / REndo
  REndo - A R package to control for endogeneity by using internal instrumental variable models
  ☆16Updated 6 months ago
• FMenchetti / CausalArima
  An R package to estimate the effect of interventions on univariate time series using ARIMA models
  ☆19Updated 9 months ago
• gzervas / torchblp
  pytorch implementation of BLP'95
  ☆26Updated 5 years ago
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆78Updated 8 months ago
• gzervas / torchfe
  High-dimensional fixed effect estimation with pytorch
  ☆18Updated 4 years ago
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆135Updated 3 months ago
• gphk-metrics / stata-multe
  Multiple Treatment Effects
  ☆23Updated 7 months ago
• kolesarm / ebci
  Robust empirical Bayes confidence intervals
  ☆10Updated 6 months ago
• bernardodionisi / differences
  difference-in-differences in Python
  ☆99Updated last year
• jeremylhour / pensynth
  A Penalized Synthetic Control Estimator for Disaggregated Data (JASA, 2021)
  ☆35Updated last year
• eleanormurray / causalinferencebook_stata
  Stata code for part 2 of the book Causal Inference, by Miguel Hernán and James Robins
  ☆18Updated 6 months ago