gradsqr

Internal function for HIC calculation

Optimal linear combination predictive signatures for maximizing the area between two Receiver Operating Characteristic (ROC) curves (treatment vs. control).

Xin Huang

ROCSI

Receiver Operating Characteristic Based Signature Identification

gradsqr function

<dl><dt>beta</dt>
<dd>estimates of coefficient beta</dd>
<dt>Z0</dt>
<dd>(m x n) x p Z matrix as prepared for ROCSI</dd>
<dt>index</dt>
<dd>m*n by 2 matrix for the subindex for the pair difference in Z</dd>
<dt>w</dt>
<dd>a vector of weights Z (can be used for inverse probability weighting for missing data, default is 1)</dd></dl>

Arguments

gradsqr — gradsqr

<dl>

<dt>beta</dt>
<dd>estimates of coefficient beta</dd>


<dt>Z0</dt>
<dd>(m x n) x p Z matrix as prepared for ROCSI</dd>


<dt>index</dt>
<dd>m*n by 2 matrix for the subindex for the pair difference in Z</dd>


<dt>w</dt>
<dd>a vector of weights Z (can be used for inverse probability weighting for missing data, default is 1)</dd>

</dl>

gradsqr: gradsqr

Description

Usage

Value

Arguments

Details

Examples