Boptbd-internal function

Internal function

This function is for internal usage only

## Computes Bayesian A-optimal block designs
## using block/array exchange algorithm
Baoptbd(trt.N, blk.N, alpha, beta, nrep, brep, itr.cvrgval)
 
## Computes Bayesian D-optimal  block designs
## using block/array exchange algorithm
Bdoptbd(trt.N, blk.N, alpha, beta, nrep, brep, itr.cvrgval)

Arguments

• trt.N: integer, specifying number of treatments, v.
• blk.N: integer, specifying number of arrays, b.
• alpha: numeric, representing shape parameter of beta distribution.
• beta: numeric, representing shape parameter of beta distribution.
• nrep: integer, specifying number of replications of the optimization procedure.
• brep: integer, specifying number of Monte Carlo samples from a prior beta distribution, Beta(alpha, beta).
• itr.cvrgval: integer, specifying number of iterations required for convergence during the exchange procedure. See Boptbd documentation for details.

Details

These functions are handled via a generic function Boptbd. Please refer to the Boptbd documentation for details.

References

Debusho, L. K., Gemechu, D. B. and Haines, L. (2018). Algorithmic construction of optimal block designs for two-colour cDNA microarray experiments using the linear mixed effects model. Communications in Statistics - Simulation and Computation, https://doi.org/10.1080/03610918.2018.1429617.

Gemechu D. B., Debusho L. K. and Haines L. M. (2014). A-optimal designs for two-colour cDNA microarray experiments using the linear mixed effects model. Peer-reviewed Proceedings of the Annual Conference of the South African Statistical Association for 2014 (SASA 2014), Rhodes University, Grahamstown, South Africa. pp 33-40, ISBN: 978-1-86822-659-7.

Author(s)

Dibaba Bayisa Gemechu, Legesse Kassa Debusho, and Linda Haines

See Also

Boptbd