get.bw

get.bw applies a specified bandwidth selection method to the dataset subject-wisely and return the median of the n selected bandwidths as the choice of bandwidth for entropy.weight.

bandwidth

selection

Dimension-reduction methods aim at defining a score that maximizes signal diversity. Three approaches, tree weight, maximum entropy weights, and maximum variance weights are provided. These methods are described in He and Fong (2019) <DOI:10.1002/sim.8212>.

Youyi Fong

Maximum Diversity Weighting

Zonglin He

get.bw function

<dl><dt>x</dt>
<dd>n by p maxtrix containing observations of p biomarkers of n subjects.</dd>
<dt>bw</dt>
<dd>bandwidth selectors of nrd, ucv, bcv, and SJ corresponding to R functions bw.nrd, bw.ucv, bw.bcv, and bw.SJ.</dd>
<dt>nb</dt>
<dd>number of bins to use, 'na' if bw='nrd'</dd></dl>

Arguments

Bandwidth Selection — get.bw

<dl>

<dt>x</dt>
<dd>n by p maxtrix containing observations of p biomarkers of n subjects.</dd>


<dt>bw</dt>
<dd>bandwidth selectors of nrd, ucv, bcv, and SJ corresponding to R functions bw.nrd, bw.ucv, bw.bcv, and bw.SJ.</dd>


<dt>nb</dt>
<dd>number of bins to use, 'na' if bw='nrd'</dd>

</dl>

get.bw: Bandwidth Selection

Description

Usage

Arguments

Examples