Alternatives and similar repositories for HDconfounding

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

• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆26Updated 7 months ago
• nhejazi / medoutcon
  R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
  ☆13Updated last week
• forestry-labs / causalToolbox
  ☆44Updated 2 years ago
• osofr / simcausal
  Simulating Longitudinal and Network Data with Causal Inference Applications
  ☆69Updated 11 months ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆80Updated 10 months ago
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆66Updated 4 years ago
• ngreifer / cobalt
  Covariate Balance Tables and Plots - An R package for assessing covariate balance
  ☆76Updated last month
• romainkp / stremr
  Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data
  ☆41Updated last year
• ehkennedy / npcausal
  ☆95Updated last year
• ngreifer / WeightIt
  WeightIt: an R package for propensity score weighting
  ☆114Updated 3 months ago
• pzivich / publications-code
  Publicly available code from my publications
  ☆15Updated last month
• carloscinelli / dml.sensemakr
  Sensitivity analysis tools for causal ML
  ☆17Updated 3 weeks ago
• cran-task-views / CausalInference
  CRAN Task View: Causal Inference
  ☆17Updated last year
• sambrilleman / simjm
  Simulate Joint Longitudinal and Survival Data
  ☆15Updated 7 years ago
• ASKurz / Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
  Translating ML into Bayes, one line at a time
  ☆80Updated 2 years ago
• lihualei71 / cfcausal
  R package cfcausal
  ☆32Updated 2 years ago
• vdorie / dbarts
  Discrete Bayesian Additive Regression Trees Sampler
  ☆59Updated 3 months ago
• fate-ewi / bayesdfa
  Bayesian DFA with Stan
  ☆29Updated last month
• stablemarkets / BayesianTutorials
  Implementing MCMC sampling from scratch in R for various Bayesian models
  ☆109Updated last year
• xnie / rlearner
  Quasi-Oracle Estimation of Heterogeneous Treatment Effects
  ☆112Updated 4 years ago
• migariane / SIM-TMLE-tutorial
  Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017
  ☆17Updated 5 years ago
• jkarreth / Bayes
  Code accompanying my ICPSR summer program course on Applied Bayesian Modeling.
  ☆44Updated 8 years ago
• carloscinelli / sensemakr
  Suite of sensitivity analysis tools for OLS
  ☆94Updated 8 months ago
• bssherwood / rqpen
  Penalized Quantile Regression
  ☆15Updated 5 months ago
• benkeser / survtmle
  Targeted Learning for Survival Analysis
  ☆23Updated last year
• chjackson / msm
  The msm R package for continuous-time multi-state modelling of panel data
  ☆62Updated last week
• thuizhou / PSweight
  ☆25Updated last year
• graemeleehickey / joineRML
  R package for fitting joint models to time-to-event data and multivariate longitudinal data
  ☆31Updated 5 months ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆59Updated 8 months ago
• tlverse / tmle3
  🎯🎓 Generalized Targeted Learning Framework
  ☆40Updated 3 weeks ago