R Package Scholar
27,072

optmatch: Functions for Optimal Matching

Ben Hansen  Mark Fredrickson  Josh Errickson  Josh Buckner  Adam Rauh   View description and downloadsView dependenciesGitHub project

2005 Published
0.10.8 Version
0 Citations
5 Authors
Referenced by ⇅ Year
DOS: Design of Observational Studies (Version 1.0.0)

2018
DOS2: Design of Observational Studies, Companion to the Second Edition (Version 0.5.2)

2019
DiPs: Directional Penalties for Optimal Matching in Observational Studies (Version 0.6.4)

2018
MatchIt: Nonparametric Preprocessing for Parametric Causal Inference (Version 4.5.5)

2005
MultiObjMatch: Multi-Objective Matching Algorithm (Version 1.0.0)

2022
PCAmatchR: Match Cases to Controls Based on Genotype Principal Components (Version 0.3.3)

2020
RItools: Randomization Inference Tools (Version 0.3-4)

2008
approxmatch: Approximately Optimal Fine Balance Matching with Multiple Groups (Version 2.0)

2017
bigmatch: Making Optimal Matching Size-Scalable Using Optimal Calipers (Version 0.6.4)

2018
cobalt: Covariate Balance Tables and Plots (Version 4.5.5)

2016
htetree: Causal Inference with Tree-Based Machine Learning Algorithms (Version 0.1.19)

2023
jointVIP: Prioritize Variables with Joint Variable Importance Plot in Observational Study Design (Version 0.1.2)

2022
marginaleffects: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests (Version 0.23.0)

2021
matchMulti: Optimal Multilevel Matching using a Network Algorithm (Version 1.1.12.1)

2016
psBayesborrow: Bayesian Information Borrowing with Propensity Score Matching (Version 1.1.0)

2024
rcbalance: Large, Sparse Optimal Matching with Refined Covariate Balance (Version 1.8.8)

2014
rcbsubset: Optimal Subset Matching with Refined Covariate Balance (Version 1.1.7)

2016
stratamatch: Stratification and Matching for Large Observational Data Sets (Version 0.1.9)

2019
triplesmatch: Match Triples Consisting of Two Controls and a Treated Unit or Vice Versa (Version 1.1.0)

2023

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