A-Optimal Block Designs for Comparing Test Treatments with Controls
Get an altnernate solution for particular row of incidence matrix
Get an altnernate solution for particular row of incidence matrix
Get an altnernate solution for particular row of incidence matrix
A-optimal balanced bipartite block designs
A-optimal group divisible treatment designs
BBPB design with given parameters
Block design from given incidence matrix
BTIB design with given parameters
g function
g function
g function
getr0
Get a particular row of incidence matrix
Get a particular row of incidence matrix
Get a particular row of incidence matrix
Value of t and s which minimize g function
Value of w and q which minimize g function
Weighted A-optimal balanced treatment incomplete block designs
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) <doi:10.1080/00401706.1984.10487989> A-Optimal Incomplete Block Designs for Control-Test Treatment Comparisons, Technometrics, 26, 363-370 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), 3728-3737.