Title: Algorithms for D-, A-, and IV-Optimal Designs
Description: Algorithms for D-, A- and IV-optimal designs of experiments. Some of the functions in this package require the 'gurobi' software and its accompanying R package. For their installation, please follow the instructions at <www.gurobi.com> and the file gurobi_inst.txt, respectively.

Title: A Toolbox for Computing Efficient Designs of Experiments
Description: Algorithms for D-, A-, I-, and c-optimal designs. Some of the functions in this package require the 'gurobi' software and its accompanying R package. For their installation, please follow the instructions at <https://www.gurobi.com> and the file gurobi_inst.txt, respectively.
Imports: grDevices, graphics, Matrix, lpSolve, matrixStats, matrixcalc,

Title: Optimal Rerandomization Experimental Designs
Author: Adam Kapelner, Michael Sklar, Abba M. Krieger and David Azriel
Description: This is a tool to find the optimal rerandomization threshold in non-sequential experiments. We offer three procedures based
on assumptions made on the residuals distribution: (1) normality assumed (2) excess kurtosis assumed (3) entire distribution assumed.
Illustrations are included. Also included is a routine to unbiasedly estimate Frobenius norms of variance-covariance matrices.
Details of the method can be found in "Optimal Rerandomization via a Criterion that Provides Insurance Against Failed Experiments"
Adam Kapelner, Abba M. Krieger, Michael Sklar and David Azriel (2020) <arXiv:1905.03337>.

Title: Model Free Approach to Quantifying Surrogacy
person("Layla", "Parast", role = c("aut", "cre"), email = "parast@austin.utexas.edu"),
Description: Identifies an optimal transformation of a surrogate marker such that the proportion of treatment effect explained can be inferred based on the transformation of the surrogate and nonparametrically estimates two model-free quantities of this proportion. Details are described in Wang et al (2020) <doi:10.1093/biomet/asz065>.

Author: Xiao Lin <xlin3@mdanderson.org>, Xuelin Huang<xlhuang@mdanderson.org>
Description: Identify the optimal timing for new treatment initiation during multiple state disease transition, including  multistate model fitting, simulation of mean residual lifetime for a given transition state, and estimation of confidence interval. The method is referred to de Wreede, L., Fiocco, M., & Putter, H. (2011) <doi:10.18637/jss.v038.i07>.