btib1: balanced treatment incomplete block designs

In ibd: Incomplete Block Designs

Description

This function generates a balanced treatment incomplete block design for specified parameters by searching all possible combinations.

Usage

btib1(v,b,r,r0,k,lambda,lambda0)

Arguments

v	number of test treatments
b	number of blocks
r	number of replications of test treatments
r0	number of replications of the control treatment
k	block size
lambda	number of concurrences among test treatments
lambda0	number of concurrences between test treatments and control treatment

Value

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	treatment by block incidence matrix of the generated block design
NNP	concurrence matrix of the generated design
Aeff	A-efficiency of the generated design

Note

The function works best for values of number of treatments (v) up to 30 and block size (k) up to 10. However, for block size (k) up to 3, much larger values of number of treatments (v) may be used.

Author(s)

B N Mandal <[e-mail]>

References

Mandal, B. N., Gupta, V. K. 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. and PARSAD, R. (2012). Generation of Binary Incomplete Block Design with a Specified Concurrence Matrix. Journal of Statistics & Applications, 7.

Examples

btib(4,6,3,6,3,1,3)

ibd documentation built on May 2, 2019, 6:52 a.m.