Alternatives and similar repositories for ptetools

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

• lrberge / fplot
  Nice distribution plots with minimum user input
  ☆18Updated 6 months ago
• tslocz / hettreatreg
  OLS Weights on Heterogeneous Treatment Effects
  ☆10Updated 5 years ago
• nhejazi / haldensify
  R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
  ☆18Updated 5 months ago
• itamarcaspi / EconML-with-R
  How to use EconML within R
  ☆12Updated 6 years ago
• FMenchetti / CausalMBSTS
  ☆16Updated 4 years ago
• Larsvanderlaan / AdaptiveDML
  Adaptive debiased machine learning of treatment effects with the highly adaptive lasso
  ☆14Updated 11 months ago
• ngreifer / lmw
  lmw: Linear Model Weights
  ☆11Updated 2 years ago
• kolesarm / multe
  Multiple Treatment Effects Regression
  ☆17Updated last year
• kolesarm / ManyIV
  Inference in instrumental variables models robust to many instruments
  ☆13Updated 7 months ago
• joonho112 / Bayesian-causal-inference
  Tutorials on Stan for Bayesian causal inference
  ☆19Updated 7 months ago
• swager / optrdd
  Optimized regression discontinuity designs
  ☆30Updated 3 years ago
• kylebutts / jive
  Jackknife Instrumental Variables Estimation
  ☆14Updated 9 months ago
• s3alfisc / fwildclusterboot
  Fast Wild Cluster Bootstrap Inference for Regression Models / OLS in R. Additionally, R port to WildBootTests.jl via the JuliaConnectoR.
  ☆30Updated last year
• vladislav-morozov / econometrics-heterogeneity
  Causal Inference in Observational Data with Unobserved Heterogeneity (Lecture Notes. Masters/PhD-level)
  ☆33Updated last week
• andrewheiss / closing-backdoors-dags
  Use regression, inverse probability weighting, and matching to close confounding backdoors and find causation in observational data
  ☆14Updated 5 years ago
• tylerJPike / OOS
  Out-Of-Sample Time Series Forecasting: OOS introduces a comprehensive framework for time series forecasting with traditional econometric …
  ☆11Updated 4 years ago
• andrewchbaker / DiD_Slides
  ☆11Updated 5 years ago
• liulch / bpCausal
  A package for Bayesian causal inference with time-series cross-sectional data
  ☆29Updated 2 years ago
• cran-task-views / Econometrics
  CRAN Task View: Econometrics
  ☆34Updated 3 months ago
• thomaswiemann / ddml
  ddml: Double/Debiased Machine Learning in R
  ☆20Updated last month
• robjhyndman / forecasting_workshop
  ☆16Updated 2 years ago
• edrubin / EC607S22
  Causal-inference oriented doctoral econometrics course at UO
  ☆14Updated 3 years ago
• johnson-shuffle / mixtape-code
  Code for Causal Inference: The Mixtape by Scott Cunningham
  ☆27Updated 7 years ago
• grantmcdermott / ds4e
  Data Science for Economists and Other Animals
  ☆29Updated 4 years ago
• chabefer / STCI
  Statistical Tools for Causal Inference
  ☆41Updated 10 months ago
• andrewheiss / evalf20.classes.andrewheiss.com
  ☆15Updated 3 years ago
• kwuthrich / scinference
  Inference for synthetic controls
  ☆40Updated 4 years ago
• xuyiqing / lalonde
  Replications data and code for "LaLonde (1986) after Nearly Four Decades: Lessons Learned"
  ☆30Updated last year
• andrewheiss / bayesf22.classes.andrewheiss.com
  📊 🌐 🧑‍🏫 Website for PhD-level independent readings course on Bayesian statistics with R and Stan, built with Quarto
  ☆43Updated 3 years ago
• ajnafa / Latent-Bayesian-MSM
  Taking Uncertainty Seriously: Bayesian Marginal Structural Models for Causal Inference in Political Science
  ☆21Updated 3 years ago