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CARM  

Covariate-Adjusted Adaptive Randomization via Mahalanobis-Distance
View on CRAN: Click here


Download and install CARM package within the R console
Install from CRAN:
install.packages("CARM")

Install from Github:
library("remotes")
install_github("cran/CARM")

Install by package version:
library("remotes")
install_version("CARM", "1.1.0")



Attach the package and use:
library("CARM")
Maintained by
Fanglu Chen
[Scholar Profile | Author Map]
First Published: 2023-02-03
Latest Update: 2023-06-07
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 (2022). "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..
How to cite:
Fanglu Chen (2023). CARM: Covariate-Adjusted Adaptive Randomization via Mahalanobis-Distance. R package version 1.1.0, https://cran.r-project.org/web/packages/CARM. Accessed 19 Feb. 2025.
Previous versions and publish date:
1.0.0 (2023-02-03 11:22)
Other packages that cited CARM R package
View CARM citation profile
Other R packages that CARM depends, imports, suggests or enhances
Complete documentation for CARM
Functions, R codes and Examples using the CARM R package
Full CARM package functions and examples
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