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SHIP (version 1.0.2)

SHrinkage covariance Incorporating Prior knowledge

Description

The SHIP-package allows the estimation of various types of shrinkage covariance matrices. These types differ in terms of the so-called covariance target (to be chosen by the user), the highly structured matrix which the standard unbiased sample covariance matrix is shrunken towards and which optionally incorporates prior biological knowledge extracted from the database KEGG. The shrinkage intensity is obtained via an analytical procedure.

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Version

Install

install.packages('SHIP')

Monthly Downloads

38

Version

1.0.2

License

GPL (>= 2)

Last Published

December 23rd, 2013

Functions in SHIP (1.0.2)

targetCor

Computation of the target Cor.
targetG

Computation of target G ('knowledge-based constant correlation model').
shrink.estim

Shrinkage estimator of the covariance matrix, given a data set and a covariance target.
target.help

Transform a list of Pathway IDs into a binary matrix.
targetF

Computation of target F ('constant correlation model').
targetGstar

Computation of the target Gstar.
expl

Small example extracted from a microarray data set.
targetGpos

Computation of the target Gpos.
targetD

Computation of the diagonal target D ('diagonal, unequal variances').
build.target

Creating a covariance target, optionally by using information from KEGG pathways.
SHIP-package

SHrinkage covariance Incorporating Prior knowledge
check.path

Check if two genes belong to any common KEGG pathway.