| btib {ibd} | R Documentation |
This function generates balanced treatment incomplete block design for specified parameters.
btib(v,b,r,r0,k,lambda,lambda0,ntrial=5,pbar=FALSE)
v |
number of test treatments |
b |
number of blocks |
r |
number of replications of test treatments |
r0 |
number of replications of control treatment |
k |
block size |
lambda |
number of concurrences among test treatments |
lambda0 |
number of concurrences between test treatments and control treatment |
ntrial |
number of trials. Default is 5. |
pbar |
Logical value indicating whether progress bar will be displayed or not. Default is FALSE. |
v |
number of test treatments |
b |
number of blocks |
r |
number of replications of test treatments |
r0 |
number of replications of control treatment |
k |
block size |
lambda |
number of concurrences among test treatments |
lambda0 |
number of concurrences between test treatments and control treatment |
design |
generated block design |
N |
incidence matrix of the generated block design |
NNP |
concurrence matrix of the generated design |
Aeff |
A-efficiency of the generated design |
B N Mandal <mandal.stat@gmail.com>
Mandal, BN, Gupta, VK and Parsad, R. (2013). Application of optimization techniques for construction of incomplete block designs. Project report, IASRI, New Delhi.
Mandal, B. N., Gupta, V. K., & Parsad, R. (2014). Efficient Incomplete Block Designs Through Linear Integer Programming. American Journal of Mathematical and Management Sciences, 33(2), 110-124.
btib(4,6,3,6,3,1,3,10)