cmatrcd.mae {optrcdmaeAT} | R Documentation |
Computes the treatment information matrix
Description
Computes the information matrix (C-matrix) for treatment effects under either the linear fixed effects model or the linear mixed effects model setting for a given row-column design.
Usage
cmatrcd.mae(trt.N, col.N, theta, des)
Arguments
trt.N |
integer, specifying number of treatments, |
col.N |
integer, specifying number of arrays (columns), |
theta |
numeric, representing a function of the ratio of random array variance and random error variance. It takes any value between 0 and 1, inclusive. |
des |
matrix, a |
Value
Returns a v x v
treatment information matrix (C-matrix).
Author(s)
Legesse Kassa Debusho, Dibaba Bayisa Gemechu, and Linda Haines
References
Debusho, L. K., Gemechu, D. B., and Haines, L. M. (2016). Algorithmic construction of optimal block designs for two-colour cDNA microarray experiments using the linear mixed model. Under review.
Gemechu, D. B., Debusho, L. K., and Haines, L. M. (2015). A-and D-optional row-column designs for two-colour cDNA microarray experiments using linear mixed effects models. South African Statistical Journal, 49, 153-168.
See Also
optrcdmaeAT
, fixparrcd.mae
, intcrcd.mae
Examples
##Information matrix
trt.N <- 3
col.N <- 3
theta <- 0.1
rcdes <- intcrcd.mae(trt.N = 3, col.N = 3)
cmatrcd.mae(trt.N = 3, col.N = 3, theta = 0.1, des = rcdes)