tune.sven

Runs 100 parallel simulations and returns the optimal (lambda, w) pair.

internal

Performs Bayesian variable screening and selection for ultra-high dimensional linear regression models.Also contains an user friendly web application to perform multi trait GWAS.

Dongjin Li

bravo

Bayesian Screening and Variable Selection

Debarshi Chakraborty

Somak Dutta

Vivekananda Roy

tune.sven function

<dl><dt>x</dt>
<dd>Cleaned SNP matrix.</dd>
<dt>R2</dt>
<dd>Heritability (default 0.5).</dd>
<dt>ehits</dt>
<dd>Expected number of causal SNPs.</dd>
<dt>betamax</dt>
<dd>Maximum effect size magnitude (default 1).</dd>
<dt>n.cores</dt>
<dd>Number of cores for parallel computation.</dd></dl>

Arguments

Tune SVEN Parameters — tune.sven

<dl>

<dt>x</dt>
<dd>Cleaned SNP matrix.</dd>


<dt>R2</dt>
<dd>Heritability (default 0.5).</dd>


<dt>ehits</dt>
<dd>Expected number of causal SNPs.</dd>


<dt>betamax</dt>
<dd>Maximum effect size magnitude (default 1).</dd>


<dt>n.cores</dt>
<dd>Number of cores for parallel computation.</dd>

</dl>

tune.sven: Tune SVEN Parameters

Description

Usage

Arguments