Alternatives and similar repositories for Matching

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

• lrberge / dreamerr
  Error Handling Made Easy
  ☆28Updated 9 months ago
• 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
• ajnafa / Latent-Bayesian-MSM
  Taking Uncertainty Seriously: Bayesian Marginal Structural Models for Causal Inference in Political Science
  ☆21Updated 3 years ago
• nt-williams / mlr3superlearner
  Super learner fitting and prediction using mlr3
  ☆10Updated 11 months ago
• mclements / microsimulation
  R package for microsimulation
  ☆42Updated 3 weeks 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 year
• justingrimmer / CausalInf
  This the repository for the Spring Causal Inference Course
  ☆45Updated 6 years ago
• markmfredrickson / optmatch
  Functions for optimal matching in R
  ☆49Updated last week
• malcolmbarrett / causal_inference_r_workshop_solutions
  ☆28Updated 5 months ago
• r-causal / halfmoon
  Techniques to Build Better Balance in Propensity Score Models
  ☆22Updated 2 months ago
• ManuelNeumann / MNLpred
  This package includes functions that return predictions from estimates of multinomial logistic models. The function uses models that were…
  ☆12Updated 8 months ago
• retowuest / autoMrP
  autoMrP
  ☆28Updated 3 months ago
• rstudio-education / r4ds-instructors
  Instructors' Guide to accompany "R for Data Science"
  ☆52Updated 7 years ago
• giabaio / BCEA
  Bayesian Cost Effectiveness Analysis. Given the results of a Bayesian model (possibly based on MCMC) in the form of simulations from the …
  ☆49Updated 2 months ago
• jepusto / clubSandwich
  Cluster-robust (sandwich) variance estimators with small-sample corrections
  ☆50Updated 2 months ago
• r-causal / causalworkshop
  Install Workshop Materials for Causal Inference in R
  ☆24Updated 4 months ago
• mgoplerud / vglmer
  Variational Generalized Linear Mixed Effects Regression
  ☆20Updated last month
• andrewheiss / cautioning-canary
  ☆10Updated 4 years ago
• NickCH-K / vtable
  An R package for creating Variable Documentation Files
  ☆40Updated last year
• aloy / HLMdiag
  R package providing diagnostic tools for multilevel models
  ☆18Updated 8 months ago
• andrewheiss / heiss-causal-inference
  Chapter on causal inference for *R for Political Data Science: A Practical Guide*
  ☆42Updated 4 years ago
• tslumley / svylme
  Mixed models for complex surveys
  ☆34Updated last year
• ajnafa / Bayesian-IPW
  ☆17Updated 4 years ago
• mkearney / tidyreg
  🎓 Tidy regression tools for academics
  ☆23Updated 7 years ago
• andrewheiss / evalf20.classes.andrewheiss.com
  ☆15Updated 3 years ago
• jrnold / qss-tidy
  tidyverse code for QSS
  ☆37Updated 5 years ago
• kosukeimai / experiment
  R package experiment
  ☆14Updated 3 years ago
• mattblackwell / inters
  Tools for estimating interactions
  ☆14Updated 3 years ago
• r-causal / tipr
  An R package for conducting sensitivity analyses for unmeasured confounders
  ☆41Updated last year
• alexgao09 / structuredpriorsmrp_public
  Repository for reproducing results in structured priors MRP paper
  ☆17Updated 5 years ago