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CDsampling  

'CDsampling': Constraint Sampling in Paid Research Studies
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("CDsampling", "0.1.1")



Attach the package and use:
library("CDsampling")
Maintained by
Yifei Huang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-10-07
Latest Update: 2024-10-13
Description:
In the context of paid research studies and clinical trials, budget considerations and patient sampling from available populations are subject to inherent constraints. We introduce the 'CDsampling' package, which integrates optimal design theories within the framework of constrained sampling. This package offers the possibility to find both D-optimal approximate and exact allocations for samplings with or without constraints. Additionally, it provides functions to find constrained uniform sampling as a robust sampling strategy with limited model information. Our package offers functions for the computation of the Fisher information matrix under generalized linear models (including regular linear regression model) and multinomial logistic models.To demonstrate the applications, we also provide a simulated dataset and a real dataset embedded in the package. Yifei Huang, Liping Tong, and Jie Yang (2025)<doi:10.5705/ss.202022.0414>.
How to cite:
Yifei Huang (2024). CDsampling: 'CDsampling': Constraint Sampling in Paid Research Studies. R package version 0.1.1, https://cran.r-project.org/web/packages/CDsampling. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.0 (2024-10-07 11:00), 0.1.1 (2024-10-13 10:30)
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