tau: estimating my and tau in a REM

Description Usage Arguments Author(s) References See Also Examples

Description

tau2.DL is an estimation of tau in a random effects model (REM) using Cochran's Q statistic.

Usage

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tau2.DL(Q, num.studies, my.weights)
mu.tau2(my.d, my.vars.new)
var.tau2(my.vars.new)

Arguments

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.

Author(s)

L. Lusa and R. Gentleman

References

Choi et al, Combining multiple microarray studies and modeling interstudy variation. Bioinformatics, 2003, i84-i90.

See Also

dstar,sigmad

Examples

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# please have a look at the vignette

GeneMeta documentation built on Nov. 8, 2020, 7:58 p.m.