create_lambda

Computes \(\lambda\) sequences for SLOPE according to several pre-defined methods.

Genome-wide association study (GWAS) performed with SLOPE,
short for Sorted L-One Penalized Estimation, a
method for estimating the vector of coefficients in a linear model.
In the first step of GWAS, single nucleotide polymorphisms (SNPs) are
clumped according to their correlations and distances.
Then, SLOPE is performed on the data where each clump has
one representative.
Malgorzata Bogdan, Ewout van den Berg, Chiara Sabatti, Weijie Su
and Emmanuel Candes (2014)
"SLOPE - Adaptive Variable Selection via Convex Optimization"
<arXiv:1407.3824>.

Piotr Sobczyk

geneSLOPE

Genome-Wide Association Study with SLOPE

Damian Brzyski

Christine Peterson

Emmanuel J. Candes

Malgorzata Bogdan

Chiara Sabatti

create_lambda function

<dl><dt>n</dt>
<dd>number of observations</dd>
<dt>p</dt>
<dd>number of variables</dd>
<dt>fdr</dt>
<dd>target False Discovery Rate (FDR)</dd>
<dt>method</dt>
<dd>method to use for computing \(\lambda\) (see Details)</dd></dl>

Arguments

Lambda sequences for SLOPE — create_lambda

<dl>

<dt>n</dt>
<dd>number of observations</dd>


<dt>p</dt>
<dd>number of variables</dd>


<dt>fdr</dt>
<dd>target False Discovery Rate (FDR)</dd>


<dt>method</dt>
<dd>method to use for computing \(\lambda\) (see Details)</dd>

</dl>

create_lambda: Lambda sequences for SLOPE

Description

Usage

Arguments

Details