metahdep (version 1.30.0)

metahdep.other: metahdep.other

Description

Miscellaneous functions used internally by the metahdep package's main functions (metahdep, metahdep.FEMA, metahdep.REMA, metahdep.HBLM, and metahdep.format):

metahdep.list2dataframe

convert list to data.frame

LinMod.MetAn.dep.REMA

REMA meta-analysis

LinMod.REMA.dep

used by LinMod.MetAn.dep.REMA to estimate parameters

LinMod.REMA.delta.split

REMA (with delta-splitting)

LinMod.HBLM.fast.dep

HBLM (no delta-splitting)

new.LinMod.HBLM.fast.dep.delta.split

HBLM (with delta-splitting)

LinMod.MetAn.dep.FEMA

FEMA

metahdep.check.X

check design matrix X, and drop columns if necessary

to make full rank

get.M

create block diagonal M matrix, given dependence structure

tr

calculate trace of matrix

id

create identity matrix

center.columns

center all non-intercept columns of design matrix X

mod

mod function

get.varsigma.v

get varsigma values for HBLM delta-splitting model

Usage

Value

References

Stevens J.R. and Nicholas G. (2009), metahdep: Meta-analysis of hierarchically dependent gene expression studies, Bioinformatics, 25(19):2619-2620.

Stevens J.R. and Taylor A.M. (2009), Hierarchical Dependence in Meta-Analysis, Journal of Educational and Behavioral Statistics, 34(1):46-73.

See also the metahdep package vignette.

Examples

## Create the M matrix for the glossing example
## - here, studies 2-5 are one hierarchically dependent group (Baumann),
## and studies 10-12 are another hierarchically dependent group (Joyce)
data(gloss)
dep.groups <- list(c(2:5),c(10:12))
M <- get.M(length(gloss.theta),dep.groups)