A collection of functions to construct Aoptimal block designs for comparing test treatments with one or more control(s). Mainly Aoptimal balanced treatment incomplete block designs, weighted Aoptimal balanced treatment incomplete block designs, Aoptimal group divisible treatment designs and Aoptimal balanced bipartite block designs can be constructed using the package. The designs are constructed using algorithms based on linear integer programming. To the best of our knowledge, these facilities to construct Aoptimal block designs for comparing test treatments with one or more controls are not available in the existing R packages. For more details on designs for tests versus control(s) comparisons, please see Hedayat, A. S. and Majumdar, D. (1984) <doi:10.1080/00401706.1984.10487989> AOptimal Incomplete Block Designs for ControlTest Treatment Comparisons, Technometrics, 26, 363370 and Mandal, B. N. , Gupta, V. K., Parsad, Rajender. (2017) <doi:10.1080/03610926.2015.1071394> Balanced treatment incomplete block designs through integer programming. Communications in Statistics  Theory and Methods 46(8), 37283737.
Package details 


Author  Baidya Nath Mandal [aut, cre], Sukanta Dash [aut], Rajender Parsad [aut] 
Maintainer  Baidya Nath Mandal <mandal.stat@gmail.com> 
License  GPL (>= 2) 
Version  0.0.3 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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