xuyiqing / hbal

Related projects: ⓘ

• insongkim / wfe
  ☆20Updated 4 years ago
• xuyiqing / interflex
  Multiplicative Interaction Models Diagnostics and Visualization, Producing Flexible Marginal Effect Estimates
  ☆31Updated last month
• edrubin / EC607S22
  Causal-inference oriented doctoral econometrics course at UO
  ☆14Updated 2 years ago
• kchaz / CausalCourseNotes
  Course notes on causal inference
  ☆16Updated 4 months ago
• andrewheiss / evalf20.classes.andrewheiss.com
  ☆14Updated 2 years ago
• CJFariss / R-Program-Challenges
  R Program Challenges for my Essex graduate summer school course and my University of Michigan undergraduate data science course.
  ☆16Updated last month
• justingrimmer / CausalInf
  This the repository for the Spring Causal Inference Course
  ☆41Updated 5 years ago
• edrubin / EC607S23
  Causal-inference oriented doctoral econometrics course at UO
  ☆14Updated last year
• liulch / bpCausal
  A package for Bayesian causal inference with time-series cross-sectional data
  ☆25Updated 8 months ago
• edrubin / EC421W22
  Introduction to Econometrics at the University of Oregon (EC421) during Winter quarter, 2022. Taught by Ed Rubin.
  ☆12Updated 2 years ago
• hbodory / causalweight
  causalweight: An R Package for Causal Inference and Mediation Analysis
  ☆10Updated 5 years ago
• edrubin / EC524W22
  Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2022) Taug…
  ☆19Updated 2 years ago
• RobertMyles / IRT
  IRT ideal point models in R using Stan
  ☆22Updated 5 years ago
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆26Updated 3 years ago
• swager / optrdd
  Optimized regression discontinuity designs
  ☆28Updated last year
• joonho112 / Bayesian-causal-inference
  Tutorials on Stan for Bayesian causal inference
  ☆19Updated 11 months ago
• ArthurChatton / CausalCookbook
  ☆18Updated 2 months ago
• andrewheiss / heiss-causal-inference
  Chapter on causal inference for *R for Political Data Science: A Practical Guide*
  ☆41Updated 3 years ago
• andrewheiss / closing-backdoors-dags
  Use regression, inverse probability weighting, and matching to close confounding backdoors and find causation in observational data
  ☆13Updated 4 years ago
• mattblackwell / inters
  Tools for estimating interactions
  ☆13Updated last year
• MCKnaus / causalDML
  Implementation of Double Machine Learning
  ☆35Updated last year
• bquast / decompr
  GVC decomposition in R
  ☆17Updated 10 months ago
• saudiwin / panelsim
  Simulation and power analysis of panel/hierarchical data that allows for independently generating effects by cross-section (between-subje…
  ☆18Updated 7 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…
  ☆21Updated last year
• retowuest / autoMrP
  autoMrP
  ☆24Updated this week
• ajnafa / Bayesian-IPW
  ☆14Updated 2 years ago
• MJAlexander / intro_bayes_workshop
  Materials for intro to Bayesian models
  ☆14Updated 2 months ago
• chaisemartinPackages / twowayfeweights
  || Stata | R || Estimates the weights attached to the two-way fixed effects regressions studied in de Chaisemartin & D'Haultfoeuille (202…
  ☆15Updated last month
• grantmcdermott / ds4e
  Data Science for Economists and Other Animals
  ☆29Updated 3 years ago