intcbd | R Documentation |
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
.
intcbd(trt.N, blk.N)
trt.N |
integer, specifying number of treatments, |
blk.N |
integer, specifying number of arrays, |
Returns a 2 x b
connected block design with b
blocks of size k = 2
and number of treatments v
.
Dibaba Bayisa Gemechu, Legesse Kassa Debusho, and Linda Haines
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.
Boptbd
, cmatbd
#Initial connected block design for
trt.N <- 4 #Number of treatments
blk.N <- 4 #Number of blocks
intcbd(trt.N = 4, blk.N = 3)
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