CARM
Covariate-Adjusted Adaptive Randomization via Mahalanobis-Distance
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. 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.
- Version1.1.0
- R version≥ 3.6.0 stats
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Y. Qin, Y. Li, W. Ma, H. Yang, and F. Hu (2022). "Adaptive randomization via Mahalanobis distance" Statistica Sinica.
- Yang H, Qin Y, Wang F, et al. (2023). "Balancing covariates in multi-arm trials via adaptive randomization" Computational Statistics & Data Analysis.
- Last release06/07/2023
Team
Fanglu Chen
Yang Li
Show author detailsRolesAuthorHaoyu Yang
Show author detailsRolesAuthorYichen Qin
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 201 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 times.
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Last 365 days
This package has been downloaded 2,473 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 32 downloads.
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Dependencies
- Imports3 packages