coef.fpen

retrieve the coefficients under given tuning parameter

The penalized and non-penalized Minorize-Maximization (MM) method for frailty models to fit the clustered data, multi-event data and recurrent data. Least absolute shrinkage and selection operator (LASSO), minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD) penalized functions are implemented. All the methods are computationally efficient. These general methods are proposed based on the following papers,
Huang, Xu and Zhou (2022) <doi:10.3390/math10040538>,
Huang, Xu and Zhou (2023) <doi:10.1177/09622802221133554>.

Yunpeng Zhou

frailtyMMpen

Efficient Algorithm for High-Dimensional Frailty Model

Xifen Huang

Jinfeng Xu

coef.fpen function

<dl><dt>object</dt>
<dd>Object with class "fpen", generated from <code>frailtyMMpen</code>.</dd>
<dt>...</dt>
<dd>Ignored</dd></dl>

Arguments

retrieve the coefficients under given tuning parameter — coef.fpen

<dl>

<dt>object</dt>
<dd>Object with class "fpen", generated from <code>frailtyMMpen</code>.</dd>


<dt>...</dt>
<dd>Ignored</dd>

</dl>

coef.fpen: retrieve the coefficients under given tuning parameter

Description

Usage

Value

Arguments

Details