R: balanced treatment incomplete block design

btib {ibd} | R Documentation

## balanced treatment incomplete block design

### Description

This function generates balanced treatment incomplete block design for specified parameters.

### Usage

    btib(v,b,r,r0,k,lambda,lambda0,ntrial=5,pbar=FALSE)

### Arguments

`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.

### 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` | incidence matrix of the generated block design
`NNP` | concurrence matrix of the generated design
`Aeff` | A-efficiency of the generated design

### Author(s)

B N Mandal <mandal.stat@gmail.com>

### References

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.

### Examples

    btib(4,6,3,6,3,1,3,10)

[Package ibd version 1.2 Index]