Alternatives and similar repositories for dmlmt

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

• MCKnaus / CATEs
  Machine Learning Estimation of Heterogeneous Causal Effects
  ☆24Updated 3 years ago
• MCKnaus / causalDML
  Implementation of Double Machine Learning
  ☆35Updated last month
• swager / balanceHD
  Approximately balanced estimation of average treatment effects in high dimensions.
  ☆34Updated 3 years ago
• liulch / bpCausal
  A package for Bayesian causal inference with time-series cross-sectional data
  ☆26Updated last year
• soerenkuenzel / causalToolbox
  ☆42Updated 4 years ago
• swager / optrdd
  Optimized regression discontinuity designs
  ☆29Updated 2 years ago
• forestry-labs / causalToolbox
  ☆43Updated 2 years ago
• ehkennedy / npcausal
  ☆95Updated last year
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆62Updated 4 years ago
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆26Updated 6 months ago
• carloscinelli / dml.sensemakr
  Sensitivity analysis tools for causal ML
  ☆17Updated 2 weeks ago
• lihualei71 / cfcausal
  R package cfcausal
  ☆27Updated 2 years ago
• bcallaway11 / did_chapter
  Code for DID chapter
  ☆11Updated 2 years ago
• VC2015 / DMLonGitHub
  ☆22Updated 7 years ago
• carloscinelli / sensemakr
  Suite of sensitivity analysis tools for OLS
  ☆94Updated 6 months ago
• nhejazi / medoutcon
  R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
  ☆13Updated last year
• vsemenova / orthoml
  Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…
  ☆25Updated 2 years ago
• ngreifer / cobalt
  Covariate Balance Tables and Plots - An R package for assessing covariate balance
  ☆76Updated last week
• kolesarm / RDHonest
  Honest inference in regression discontinuity designs
  ☆61Updated 5 months ago
• pzivich / Delicatessen
  Delicatessen: the Python one-stop sandwich (variance) shop 🥪
  ☆27Updated last week
• Larsvanderlaan / AdaptiveDML
  Adaptive debiased machine learning of treatment effects with the highly adaptive lasso
  ☆14Updated 3 months ago
• grf-labs / sufrep
  Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1
  ☆14Updated 5 years ago
• nppackages / scpi
  Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.
  ☆33Updated 4 months ago
• naoki-egami / DIDdesign
  R package DIDdesign: Analyzing Difference-in-Differences Design
  ☆38Updated last year
• jeremylhour / pensynth
  A Penalized Synthetic Control Estimator for Disaggregated Data (JASA, 2021)
  ☆35Updated 3 months ago
• tlverse / causalglm
  Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…
  ☆24Updated 3 years ago
• kwuthrich / scinference
  Inference for synthetic controls
  ☆39Updated 4 years ago
• kathoffman / lmtp-tutorial
  Corresponding code guide to the tutorial paper "Introducing longitudinal modified treatment policies: a unified framework for studying c…
  ☆23Updated 2 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…
  ☆35Updated 4 months ago
• cran-task-views / Econometrics
  CRAN Task View: Econometrics
  ☆34Updated 2 months ago