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license: MIT
title: 'CDsampling: ''CDsampling'': Constraint Sampling in Paid Research Studies'
version: 0.1.5
doi: 10.32614/CRAN.package.CDsampling
abstract: 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)<https://doi.org/10.5705/ss.202022.0414>.
authors:
- family-names: Huang
  given-names: Yifei
  email: yhuan39@uic.edu
- family-names: Tong
  given-names: Liping
- family-names: Yang
  given-names: Jie
repository: https://CRAN.R-project.org/package=CDsampling
date-released: '2025-03-30'
contact:
- family-names: Huang
  given-names: Yifei
  email: yhuan39@uic.edu