getNumVectorsHutchinson

Follows Skorski, M. (2021). Modern Analysis of Hutchinson’s Trace Estimator.
2021 55th Annual Conference on Information Sciences and Systems (CISS), 1–5.
https://doi.org/10.1109/CISS50987.2021.9400306

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

getNumVectorsHutchinson function

<dl><dt>e</dt>
<dd>A <code>numeric</code> denoting the relative error margin</dd>
<dt>d</dt>
<dd>A <code>numeric</code>. 1-d is the probability the the relative error is bounded
by e.</dd></dl>

Arguments

Compute the number of vectors to use for Hutchinson trace estimation — getNumVectorsHutchinson

<dl>

<dt>e</dt>
<dd>A <code>numeric</code> denoting the relative error margin</dd>


<dt>d</dt>
<dd>A <code>numeric</code>. 1-d is the probability the the relative error is bounded
by e.</dd>

</dl>

getNumVectorsHutchinson: Compute the number of vectors to use for Hutchinson trace estimation

Description

Usage

Value

Arguments