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CARM (version 2.0.0)

Covariate-Adjusted Adaptive Randomization via Mahalanobis-Distance

Description

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. . 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..

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Version

Install

install.packages('CARM')

Monthly Downloads

314

Version

2.0.0

License

GPL (>= 2)

Maintainer

Fanglu Chen

Last Published

October 29th, 2025

Functions in CARM (2.0.0)

ARM

Adaptive Randomization via Mahalanobis Distance
covariate

Example dataset: covariate
CARM-package

CARM: Covariate-adjusted Adaptive Randomization via Mahalanobis distance
stratum_ARM

Stratified Adaptive Randomization via Mahalanobis Distance
ARMM

Adaptive Randomization via Mahalanobis distance for Multi-arm design