parameter.set.rankA_eq

This function generate set of hyperparameters when the individual ranks are the same

An R package that implements the JICO algorithm [Wang, P., Wang, H., Li, Q., Shen, D., & Liu, Y. (2024). <Journal of Computational and Graphical Statistics, 33(3), 763-773>].
It aims at solving the multi-group regression problem. The algorithm decomposes the responses from multiple groups into shared and group-specific
components, which are driven by low-rank approximations of joint and individual structures from the covariates respectively.

Peiyao Wang

JICO

Joint and Individual Regression

parameter.set.rankA_eq function

<dl><dt>G</dt>
<dd>number of groups</dd>
<dt>maxrankA</dt>
<dd>The maximum rank for individual component</dd>
<dt>maxrankJ</dt>
<dd>The maximum rank for joint component</dd>
<dt>gamma.list</dt>
<dd>The list of candidate gammas to be tuned</dd></dl>

Arguments

Generate parameter sets (equal individual ranks) — parameter.set.rankA_eq

<dl>

<dt>G</dt>
<dd>number of groups</dd>


<dt>maxrankA</dt>
<dd>The maximum rank for individual component</dd>


<dt>maxrankJ</dt>
<dd>The maximum rank for joint component</dd>


<dt>gamma.list</dt>
<dd>The list of candidate gammas to be tuned</dd>

</dl>

parameter.set.rankA_eq: Generate parameter sets (equal individual ranks)

Description

Usage

Value

Arguments