Title: Easy Model-Builder Functions for OpenMx
Authors@R: c(person(c("Michael", "D."), "Hunter", email="mhunter.ou@gmail.com", role=c("aut", "cre")),
person(c("Joshua", "N."), "Pritikin", email="jpritikin@pobox.com", role='ctb'))
Maintainer: Michael D. Hunter <mhunter.ou@gmail.com>
Description: Utilities for building certain kinds of common matrices and models in
the extended structural equation modeling package, OpenMx.

Title: Easy Model-Builder Functions for 'OpenMx'
the extended structural equation modeling package, 'OpenMx'.

Title: Evaluation of stratified genome-wide association meta-analysis
Description: This is a pipelining tool that facilitates
evaluation and visualisation of stratified genome-wide
association meta-analyses (GWAMAs) results data. It
provides (i) statistical methods to test and to account
for between-strata difference and to clump genome-wide
results into independent loci and (ii) extended graphical
features (e.g., Manhattan, Miami and QQ plots) tailored
Collate: clsEqcReader4.r clsRCD7.r clsGWADATA45.r clsEASYMERGE.r
clsGC5.r clsGETCOLS.r clsGETNUM2.r clsINDEP7.r clsJOINTTEST3.r

Description: Uplift Tree Model for R. It is an implementation of a

Package: EbayesThresh
Title: Empirical Bayes thresholding and related methods
Version: 1.3.0
Date: 2005-03-24
Author: Bernard W. Silverman <bernard.silverman@spc.ox.ac.uk>
Maintainer: Bernard W. Silverman <bernard.silverman@spc.ox.ac.uk>
Description: This package carries out Empirical Bayes thresholding
using the methods developed by I. M. Johnstone and B. W. Silverman.
The basic problem is to estimate a mean vector given a vector of observations of the
mean vector plus white noise, taking advantage of possible sparsity in the mean vector.
Within a Bayesian formulation, the elements of the mean vector are modelled as having,
independently, a distribution that is a mixture of an atom of probability at zero and
a suitable hevay-tailed distribution.
The mixing parameter can be estimated by a marginal maximum likelihood approach.
This leads to an adaptive thresholding approach on the original data.
Extensions of the basic method, in particular to wavelet thresholding, are also
implemented within the package.
License: GPL version 2 or newer
URL: http://www.bernardsilverman.com
Packaged: Thu Mar 24 16:46:17 2005; Administrator