Inv.proj.matrix.sdp

This function computes the Moore-Penrose pseudo-inverse of a symetric matrix. 
A single value decomposition is performed, the non positive eigen values are set to zero, then the pseudo-inverse is computed.

Four measures of linkage disequilibrium are provided: the usual r^2
measure, the r^2_S measure (r^2 corrected by the structure
sample), the r^2_V (r^2 corrected by the relatedness of
genotyped individuals), the r^2_VS measure (r^2 corrected by
both the relatedness of genotyped individuals and the structure
of the sample).

Aurélie Siberchicot

LDcorSV

Linkage Disequilibrium Corrected by the Structure and the
Relatedness

David Desrousseaux

Florian Sandron

Christine Cierco-Ayrolles

Brigitte Mangin

Inv.proj.matrix.sdp function

<dl> <dt>matrix</dt>
<dd>symmetric matrix</dd></dl>

Arguments

David Desrousseaux, Florian Sandron, Aurélie Siberchicot, Christine Cierco-Ayrolles and Brigitte Mangin

Author

Inv.proj.matrix.sdp — Inv.proj.matrix.sdp

<dl>

 <dt>matrix</dt>
<dd>symmetric matrix</dd>

</dl>

Inv.proj.matrix.sdp: Inv.proj.matrix.sdp

Description

Usage

Value

Arguments

Author

Examples