Alternatives and similar repositories for dml.sensemakr:

Users that are interested in dml.sensemakr 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 2 months ago
• nhejazi / medoutcon
  R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
  ☆13Updated 10 months ago
• zeileis / ivreg
  2SLS Regression with Diagnostics in R
  ☆20Updated 3 weeks ago
• liulch / bpCausal
  A package for Bayesian causal inference with time-series cross-sectional data
  ☆26Updated last year
• Larsvanderlaan / causalHAL
  Adaptive debiased machine learning of treatment effects with the highly adaptive lasso
  ☆14Updated last year
• joonho112 / Bayesian-causal-inference
  Tutorials on Stan for Bayesian causal inference
  ☆19Updated last year
• HugoMetric / causalweight
  causalweight: An R Package for Causal Inference and Mediation Analysis
  ☆11Updated 5 years ago
• cran-task-views / CausalInference
  CRAN Task View: Causal Inference
  ☆16Updated 10 months ago
• lihualei71 / cfcausal
  R package cfcausal
  ☆27Updated 2 years ago
• wxwx1993 / GPSmatching
  R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…
  ☆30Updated 3 months ago
• ngreifer / lmw
  lmw: Linear Model Weights
  ☆11Updated last year
• MartinSpindler / hdm
  ☆14Updated last year
• carloscinelli / sensemakr
  Suite of sensitivity analysis tools for OLS
  ☆91Updated 3 months ago
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆59Updated 4 years ago
• nhejazi / haldensify
  R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
  ☆17Updated last week
• FMenchetti / CausalMBSTS
  ☆16Updated 3 years ago
• williazo / mvGPS
  Tools for estimating causal effects for multivariate continuous exposures
  ☆13Updated 3 years ago
• xuyiqing / interflex
  Multiplicative Interaction Models Diagnostics and Visualization, Producing Flexible Marginal Effect Estimates
  ☆34Updated 3 weeks ago
• ngreifer / cobalt
  Covariate Balance Tables and Plots - An R package for assessing covariate balance
  ☆75Updated 10 months ago
• fate-ewi / bayesdfa
  Bayesian DFA with Stan
  ☆28Updated 3 months ago
• grf-labs / sufrep
  Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1
  ☆14Updated 4 years ago
• MCKnaus / dmlmt
  Double Machine Learning for Multiple Treatments
  ☆39Updated 4 years ago
• tslocz / hettreatreg
  OLS Weights on Heterogeneous Treatment Effects
  ☆10Updated 4 years ago
• yqzhong7 / AIPW
  R Package: Augmented Inverse Probability Weighted (AIPW) Estimation for Average Causal Effect
  ☆24Updated 4 months ago
• xiaomanluo / ripwPaper
  Paper repository for "Double Robust Two-Way Fixed Effect Regression for Panel Data"
  ☆10Updated 11 months ago
• tlverse / tmle3
  🎯🎓 Generalized Targeted Learning Framework
  ☆38Updated 3 months ago
• kolesarm / Robust-Small-Sample-Standard-Errors
  Degrees of freedom adjustments for robust standard errors described in Imbens and Kolesár (2016, Review of Economics and Statistics)
  ☆31Updated last month
• kathoffman / lmtp-tutorial
  Corresponding code guide to the tutorial paper "Introducing longitudinal modified treatment policies: a unified framework for studying c…
  ☆22Updated last year
• kylebutts / jive
  Jackknife Instrumental Variables Estimation
  ☆11Updated last year
• swager / balanceHD
  Approximately balanced estimation of average treatment effects in high dimensions.
  ☆34Updated 3 years ago