Author: Aijun Zhang, Haoyu Li, Shijie Quan, Zebin Yang

Description: Efficient procedures for constructing uniform design of experiments under various space-filling criteria. It is based on a stochastic and adaptive threshold accepting algorithm with flexible initialization, adaptive threshold, and stochastic evolution. The package may also construct the augmented uniform designs in a sequential manner. View details at: Zhang, A. and Li, H. (2017). UniDOE: An R package for constructing uniform design of experiments via stochastic and adaptive threshold accepting algorithm.

Title: Unimodal and Isotonic L1, L2 and Linf Regression
Author: Zhipeng Xu <xzhipeng@umich.edu>, Chenkai Sun <sunchenk@umich.edu>, Aman Karunakaran <akarunak@umich.edu>, Quentin Stout<qstout@umich.edu>
Description: Perform L1 or L2 isotonic and unimodal regression on 1D weighted or unweighted input vector and isotonic regression on 2D weighted or unweighted input vector. It also performs L infinity isotonic and unimodal regression on 1D unweighted input vector. Reference: Quentin F. Stout (2008) <doi:10.1016/j.csda.2008.08.005>. Spouge, J., Wan, H. & Wilbur, W.(2003) <doi:10.1023/A:1023901806339>. Q.F. Stout (2013) <doi:10.1007/s00453-012-9628-4>.

Description: Data from Unicode 5.2.0 and related utilities

Description: Data from Unicode 6.0.0 and related utilities.

Description: Data from Unicode 6.3.0 and related utilities.

Description: Data from Unicode 7.0.0 and related utilities.

Description: Data from Unicode 10.0.0 and related utilities.

Description: Data from Unicode 11.0.0 and related utilities.

Description: Data from Unicode 12.0.0 and related utilities.

Description: Data from Unicode 13.0.0 and related utilities.

Description: Data from Unicode 14.0.0 and related utilities.

Description: Data from Unicode 15.0.0 and related utilities.

Description: Data from Unicode 8.0.0 and related utilities.

Description: Data from Unicode 9.0.0 and related utilities.

Title: Dose-Finding Methods for Non-Binary Outcomes
Author: Chia-Wei Hsu, Haitao Pan, Rongji Mu
Description: In many phase I trials, the design goal is to find the dose associated with a certain target toxicity rate. In some trials, the goal can be to find the dose with a certain weighted sum of rates of various toxicity grades. For others, the goal is to find the dose with a certain mean value of a continuous response. This package provides the setup and calculations needed to run a dose-finding trial with non-binary endpoints and performs simulations to assess design’s operating characteristics under various scenarios. Three dose finding designs are included in this package: unified phase I design (Ivanova et al. (2009) <doi:10.1111/j.1541-0420.2008.01045.x>), Quasi-CRM/Robust-Quasi-CRM (Yuan et al. (2007) <doi:10.1111/j.1541-0420.2006.00666.x>, Pan et al. (2014) <doi:10.1371/journal.pone.0098147>) and generalized BOIN design (Mu et al. (2018) <doi:10.1111/rssc.12263>). The toxicity endpoints can be handled with these functions including equivalent toxicity score (ETS), total toxicity burden (TTB), general continuous toxicity endpoints, with incorporating ordinal grade toxicity information into dose-finding procedure. These functions allow customization of design characteristics to vary sample size, cohort sizes, target dose-limiting toxicity (DLT) rates, discrete or continuous toxicity score, and incorporate safety and/or stopping rules.