metahdep.other: metahdep.other
In metahdep: Hierarchical Dependence in Meta-Analysis

Description Author(s) References Examples

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

John R. Stevens, Gabriel Nicholas

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.

## 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)