Alternatives and similar repositories for rr

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

• kosukeimai / CBPS
  R package: CBPS
  ☆28Updated 2 months ago
• joonho112 / Bayesian-causal-inference
  Tutorials on Stan for Bayesian causal inference
  ☆19Updated 7 months ago
• markmfredrickson / RItools
  Randomization inference tools for R
  ☆17Updated 2 months ago
• itamarcaspi / EconML-with-R
  How to use EconML within R
  ☆12Updated 6 years ago
• mattblackwell / DirectEffects
  An R package for estimating controlled direct effects.
  ☆19Updated 11 months ago
• justingrimmer / CausalInf
  This the repository for the Spring Causal Inference Course
  ☆45Updated 6 years ago
• ljanastas / UGA_POLS-8500-Machine-Learning-Text-Analysis
  This is a repository for R code lecture notes for the Fall 2019 version of POLS 8500 on text analysis and machine learning for the social…
  ☆21Updated 4 years ago
• swager / optrdd
  Optimized regression discontinuity designs
  ☆30Updated 3 years ago
• justingrimmer / Math18
  Stanford's Math Camp for 2018
  ☆38Updated 7 years ago
• MCKnaus / causalDML
  Implementation of Double Machine Learning
  ☆36Updated 3 weeks ago
• UChicago-pol-methods / plsc-40502-statistical-models
  Repository for PLSC 40502 - "Data Analysis with Statistical Models"
  ☆13Updated 10 months ago
• mattblackwell / causalsens
  A sensitivity analysis package for causal effects
  ☆12Updated last year
• andrewheiss / evalf20.classes.andrewheiss.com
  ☆15Updated 3 years ago
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆27Updated last year
• jrnold / qss-tidy
  tidyverse code for QSS
  ☆37Updated 5 years ago
• CenterForPeaceAndSecurityStudies / IntroductiontoMachineLearning
  Course Materials for Introduction to Machine Learning, Rex W. Douglass 2018
  ☆19Updated 7 years ago
• justingrimmer / MathCamp
  ☆26Updated 7 years ago
• sejdemyr / ecls
  Processing data from the Early Childhood Longitudinal Study (ECLS)
  ☆32Updated last year
• 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 year
• robertgrant / dataviz-book
  "Data Visualization: charts, maps and interactive graphics" (the making of)
  ☆27Updated 4 years ago
• sachsmc / causaloptim
  An Interface to Specify Causal Graphs and Compute Balke Bounds
  ☆22Updated 11 months ago
• pdwaggoner / dimension-reduction-CUP
  Replication files for my book "Modern Dimension Reduction"
  ☆17Updated 4 years ago
• appeler / ethnicolor
  Race and Ethnicity based on name using data from census, voter reg. files, etc.
  ☆11Updated 8 years ago
• RobertMyles / IRT
  IRT ideal point models in R using Stan
  ☆24Updated 6 years ago
• dlab-berkeley / Unsupervised-Learning-in-R
  Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).
  ☆47Updated 5 years ago
• nhejazi / haldensify
  R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
  ☆18Updated 4 months ago
• pablobarbera / quant3materials
  PhD course: Quantitative Methods for Political Science III (NYU) -- Recitation Materials
  ☆53Updated 11 years ago
• liulch / bpCausal
  A package for Bayesian causal inference with time-series cross-sectional data
  ☆29Updated 2 years ago
• OpenSDP / OpenSDPsynthR
  Codebase to generate simulated data for OpenSDP project
  ☆17Updated 5 years ago
• cis-ds / course-site
  Course site for Computing for Information Science (INFO 5940)
  ☆44Updated 3 years ago