Boptbd-internal

0th

Percentile

Internal function

This function is for internal usage only

Keywords
Bayesian A-optimal block designs, Bayesian D-optimal block designs
Usage
## 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.

See Also

Boptbd

Aliases
  • Boptbd-internal
  • Baoptbd
  • Bdoptbd
Documentation reproduced from package Boptbd, version 1.0.5, License: GPL-2

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