Covariate-Adjusted Adaptive Randomization via Mahalanobis-Distance
Overview
In randomized controlled trial (RCT), balancing covariate is often one of the most important concern. CARM package provides functions to balance the covariates and generate allocation sequence by covariate-adjusted Adaptive Randomization via Mahalanobis-distance (ARM) for RCT. About what ARM is and how it works please see Y. Qin, Y. Li, W. Ma, H. Yang, and F. Hu (2024). "Adaptive randomization via Mahalanobis distance" Statistica Sinica. doi:10.5705/ss.202020.0440. In addition, the package is also suitable for the randomization process of multi-arm trials. For details, please see Yang H, Qin Y, Wang F, et al. (2023). "Balancing covariates in multi-arm trials via adaptive randomization" Computational Statistics & Data Analysis.doi:10.1016/j.csda.2022.107642.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 5includes a package overview page
- Examples that run
- 100%3 run in a plain check
- Exported functions with examples
- 67%
- Documented parameters
- 95%
- Return-value docs
- 100%
- Help pages citing references
- 40%
Downloads
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 2.0.0Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.1.02023-06-07 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 1.0.02023-02-03
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2023-02-03
- Total releases
- 3 / 3 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.6.0
- Bundled data
- 2.2 KB / 1 file
- Download size
- 10 KB
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