Package: catmap
Version: 1.4
Date: 2008-01-21
Title: Case-control And Tdt Meta-Analysis Package
Author: Kristin K. Nicodemus <kristin.nicodemus@well.ox.ac.uk>
Maintainer: Kristin K. Nicodemus <kristin.nicodemus@well.ox.ac.uk>
Description: catmap is an R package that conducts fixed-effects (inverse variance) and random-effects (DerSimonian and Laird, 1986) meta-analyses of case-control or family-based (TDT) genetic data; in addition, it performs meta-analyses combining these two types of study designs.  The fixed-effects model was first described by Kazeem and Farrell (2005); the random-effects model is described in Nicodemus (submitted).
License: GPL (version 2 or newer)
Packaged: Mon Jan 21 10:17:53 2008; knicodemus

Package: catmap
Version: 1.5
Date: 2008-06-06
Title: Case-control And Tdt Meta-Analysis Package
Author: Kristin K. Nicodemus <kristin.nicodemus@well.ox.ac.uk>
Maintainer: Kristin K. Nicodemus <kristin.nicodemus@well.ox.ac.uk>
Description: catmap is an R package that conducts fixed-effects (inverse variance) and random-effects (DerSimonian and Laird, 1986) meta-analyses of case-control or family-based (TDT) genetic data; in addition, it performs meta-analyses combining these two types of study designs.  The fixed-effects model was first described by Kazeem and Farrell (2005); the random-effects model is described in Nicodemus (submitted).
License: GPL (version 2 or newer)
Packaged: Fri Jun  6 12:04:03 2008; knicodemus

Title: Case-Control and TDT Meta-Analysis Package
person("Thomas", "Quinn", email = "contacttomquinn@gmail.com", role = c("aut", "cre")),
person("Kristin", "Nicodemus", email = "kristin.nicodemus@igmm.ed.ac.uk", role = "aut"),
person("Glaucia", "Martins", email = "glauciachiyoko@yahoo.com.br", role = "ctb"),
person("Carlos", "Maia", email = "crm.maia@gmail.com", role = "ctb")
Description: Although many software tools can perform meta-analyses on genetic case-control data,
none of these apply to combined case-control and family-based (TDT) studies. This package conducts
fixed-effects (with inverse variance weighting) and random-effects [DerSimonian and Laird (1986)
<DOI:10.1016/0197-2456(86)90046-2>] meta-analyses on combined genetic data. Specifically, this package
implements a fixed-effects model [Kazeem and Farrall (2005) <DOI:10.1046/j.1529-8817.2005.00156.x>]
and a random-effects model [Nicodemus (2008) <DOI:10.1186/1471-2105-9-130>] for combined studies.