getUnivJ

Get the contribution of one dimension to the Residual Squared Error (RSE)

internal

Methods for fast segmentation of multivariate
signals into piecewise constant profiles and for generating realistic
copy-number profiles. A typical application is the joint segmentation of total
DNA copy numbers and allelic ratios obtained from Single Nucleotide Polymorphism
(SNP) microarrays in cancer studies. The methods are described in Pierre-Jean,
Rigaill and Neuvial (2015) <doi:10.1093/bib/bbu026>.

Morgane Pierre-Jean

jointseg

Joint Segmentation of Multivariate (Copy Number) Signals

Pierre Neuvial

Guillem Rigaill

getUnivJ function

<dl><dt>y</dt>
<dd>Input vector of signals for the considered dimension</dd>
<dt>candCP</dt>
<dd>A vector of candidate change points</dd></dl>

Arguments

Morgane Pierre-Jean and Pierre Neuvial

Author

Get the contribution of one dimension to the RSE. — getUnivJ

<dl>

<dt>y</dt>
<dd>Input vector of signals for the considered dimension</dd>


<dt>candCP</dt>
<dd>A vector of candidate change points</dd>

</dl>

getUnivJ: Get the contribution of one dimension to the RSE.

Description

Usage

Arguments

Author

Details

See Also