intcbd: Generates initial connected block design

In Boptbd: Bayesian Optimal Block Designs

Generates initial connected block design

Description

The function intcbd generates a random initial connected block design for a given number of blocks b of size k = 2 and the number of treatments v.

Usage

intcbd(trt.N, blk.N)

Arguments

trt.N	integer, specifying number of treatments, v.
blk.N	integer, specifying number of arrays, b.

Value

Returns a 2 x b connected block design with b blocks of size k = 2 and number of treatments v.

Author(s)

Dibaba Bayisa Gemechu, Legesse Kassa Debusho, and Linda Haines

References

Debusho, L. K., Gemechu, D. B., and Haines, L. M. (2018). Algorithmic construction of optimal block designs for two-colour cDNA microarray experiments using the linear mixed model.

Gemechu D. B., Debusho L. K. and Haines L. M. (2025). Algorithmic Construction of Bayesian Optimal Block Designs Using the Linear Mixed Effects Model. International Journal of Statistics and Probability. 14 (1), 1-50, DOI:10.5539/ijsp.v14n1p50.

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, cmatbd

Examples

    #Initial connected block design for 
    trt.N <- 4 #Number of treatments
    blk.N <- 4 #Number of blocks

    intcbd(trt.N = 4, blk.N = 3)

Boptbd documentation built on June 8, 2025, 10:22 a.m.