A-Optimal Block Designs for Comparing Test Treatments with Controls

A collection of functions to construct A-optimal block designs for comparing test treatments with one or more control(s). Mainly A-optimal balanced treatment incomplete block designs, weighted A-optimal balanced treatment incomplete block designs, A-optimal group divisible treatment designs and A-optimal 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 A-optimal 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) A-Optimal Incomplete Block Designs for Control-Test Treatment Comparisons, Technometrics, 26, 363-370 and Mandal, B. N. , Gupta, V. K., Parsad, Rajender. (2017) Balanced treatment incomplete block designs through integer programming. Communications in Statistics - Theory and Methods 46(8), 3728-3737.


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install.packages("Aoptbdtvc")

0.0.2 by Baidya Nath Mandal, a year ago


Browse source code at https://github.com/cran/Aoptbdtvc


Authors: Baidya Nath Mandal [aut, cre] , Sukanta Dash [aut] , Rajender Parsad [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Depends on lpSolve, MASS


See at CRAN