tau2.DL {GeneMeta} | R Documentation |
tau2.DL is an estimation of tau in a random effects model (REM) using Cochran's Q statistic
tau2.DL(Q, num.studies, my.weights) mu.tau2(my.d, my.vars.new) var.tau2(my.vars.new)
Q |
A vector of Cochran's Q statistics. |
num.studies |
The number of studies used for the meta-analysis. |
my.weights |
A matrix with one column for each experiment containing the variances of the effects that should be combined. |
my.d |
A matrix, with one column for each experiment, containing the effects that should be combined. |
my.vars.new |
A matrix, with one column for each experiment, containing the variances of the effects that should be combined. |
L. Lusa and R. Gentleman
Choi et al, Combining multiple microarray studies and modeling interstudy variation. Bioinformatics, 2003, i84-i90.
# please have a look at the vignette