randTraceHutchinson

Carry out principal component analysis (PCA) of very large pedigrees such as found
in breeding populations! This package exploits sparse matrices and randomised
linear algebra to deliver a gazillion-times speed-up compared to naive singular value decoposition (SVD)
(and eigen decomposition).

Hannes Becher

randPedPCA

Fast PCA for Large Pedigrees

Hanbin Lee

Ros Craddock

Gregor Gorjanc

randTraceHutchinson function

<dl><dt>L</dt>
<dd>A pedigree's L inverse matrix</dd>
<dt>numVectors, </dt>
<dd>an <code>integer</code> specifying how many random vectors to use
If you do not have a good reason to do otherwise, use the function <code>hutchpp</code> instead.
The higher <code>numVectors</code>, the higher the accuracy and the longer the running time.
Accuracy can be estimated with the function <code>getNumVectorsHutchinson</code>.</dd></dl>

Arguments

Trace estimation for sparse L inverse matrices — randTraceHutchinson

<dl>

<dt>L</dt>
<dd>A pedigree's L inverse matrix</dd>


<dt>numVectors, </dt>
<dd>an <code>integer</code> specifying how many random vectors to use
If you do not have a good reason to do otherwise, use the function <code>hutchpp</code> instead.
The higher <code>numVectors</code>, the higher the accuracy and the longer the running time.
Accuracy can be estimated with the function <code>getNumVectorsHutchinson</code>.</dd>

</dl>

randTraceHutchinson: Trace estimation for sparse L inverse matrices

Description

Usage

Value

Arguments