4 papers
ForLion: An R Package for Finding Optimal Experimental Designs with Mixed Factors
Siting Lin, Yifei Huang, Jie Yang
Optimal design is crucial for experimenters to maximize the information collected from experiments and estimate the model parameters most accurately. ForLion algorithms have been p…
Expected Weighted D-optimal Designs for Experiments with Mixed Factors
Siting Lin, Yifei Huang, Jie Yang
Optimal designs can help experimenters obtain more accurate parameter estimates with reduced experimental time and cost. In this paper, we characterize the Expected Weighted (EW) D…
CDsampling: An R Package for Constrained D-Optimal Sampling in Paid Research Studies
Yifei Huang, Liping Tong, Jie Yang
In the context of paid research studies and clinical trials, budget considerations often require patient sampling from available populations which comes with inherent constraints.…
ForLion: A New Algorithm for D-optimal Designs under General Parametric Statistical Models with Mixed Factors
Yifei Huang, Keren Li, Abhyuday Mandal +1
In this paper, we address the problem of designing an experimental plan with both discrete and continuous factors under fairly general parametric statistical models. We propose a n…