Alternatives and similar repositories for data_analysis:

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

• DoubleML / doubleml-for-r
  DoubleML - Double Machine Learning in R
  ☆137Updated 2 months ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆59Updated 3 months ago
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆135Updated 3 months ago
• edrubin / EC607S21
  Causal-inference oriented doctoral econometrics course at UO
  ☆82Updated 3 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…
  ☆33Updated 3 weeks ago
• MCKnaus / causalDML
  Implementation of Double Machine Learning
  ☆35Updated last year
• ngreifer / cobalt
  Covariate Balance Tables and Plots - An R package for assessing covariate balance
  ☆75Updated 10 months ago
• NickCH-K / TheEffectAssignments
  Homework assignments to go along with The Effect
  ☆62Updated 2 months ago
• chabefer / STCI
  Statistical Tools for Causal Inference
  ☆41Updated 7 months ago
• kwuthrich / scinference
  Inference for synthetic controls
  ☆39Updated 3 years ago
• carloscinelli / sensemakr
  Suite of sensitivity analysis tools for OLS
  ☆91Updated 3 months ago
• scunning1975 / advanced_causalinf
  Advanced causal inference and research design course
  ☆92Updated 3 years ago
• forestry-labs / causalToolbox
  ☆41Updated 2 years ago
• NickCH-K / CausalitySlides
  Slides for the Seattle University Causal Inference Class
  ☆133Updated 3 years ago
• pedrohcgs / DRDID
  Doubly Robust Difference-in-Differences Estimators
  ☆91Updated 4 months ago
• MartinSpindler / hdm
  ☆14Updated last year
• gabors-data-analysis / da-coding-rstats
  Coding course to complete Data Analysis in R
  ☆122Updated 4 months ago
• MCKnaus / dmlmt
  Double Machine Learning for Multiple Treatments
  ☆39Updated 4 years ago
• r-causal / causal-inference-in-R
  Causal Inference in R: A book!
  ☆209Updated this week
• JMSLab / eventstudyr
  ☆24Updated last week
• edunford / tidysynth
  A tidy implementation of the synthetic control method in R
  ☆101Updated last year
• insongkim / PanelMatch
  ☆121Updated 3 weeks ago
• CausalInference / gfoRmula
  The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-v…
  ☆165Updated this week
• ASKurz / Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
  Translating ML into Bayes, one line at a time
  ☆77Updated last year
• edrubin / EC524W20
  Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2020 Taugh…
  ☆81Updated 4 years ago
• liulch / bpCausal
  A package for Bayesian causal inference with time-series cross-sectional data
  ☆26Updated last year
• uo-ec607 / syllabus
  Syllabus for EC 607
  ☆64Updated 4 years ago
• Mixtape-Sessions / Causal-Inference
  Causal Inference Mixtape Sessions
  ☆94Updated 2 years ago
• mwelz / GenericML
  R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).
  ☆65Updated 3 weeks ago
• naoki-egami / DIDdesign
  R package DIDdesign: Analyzing Difference-in-Differences Design
  ☆36Updated 8 months ago