An <code>ncvreg</code> or <code>ncvsurv</code> object.

Arguments to pass to <code><a rd-options="" href="/link/mfdr?package=ncvreg&version=3.13.0" data-mini-rdoc="ncvreg::mfdr">mfdr</a></code>.

Estimates the marginal false discovery rate (mFDR) of a penalized
 regression model.

Fits regularization paths for linear regression, GLM, and Cox
regression models using lasso or nonconvex penalties, in particular the
minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD)
penalty, with options for additional L2 penalties (the "elastic net" idea).
Utilities for carrying out cross-validation as well as post-fitting
visualization, summarization, inference, and prediction are also provided.
For more information, see Breheny and Huang (2011) <doi:10.1214/10-AOAS388>
or visit the ncvreg homepage <https://pbreheny.github.io/ncvreg/>.

Patrick Breheny

ncvreg

Regularization Paths for SCAD and MCP Penalized Regression
Models

fir function

<dl> <dt>fit</dt>
<dd>An <code>ncvreg</code> or <code>ncvsurv</code> object.</dd> <dt>...</dt>
<dd>Arguments to pass to <code>mfdr</code>.</dd></dl>

Arguments

Marginal false discovery rates — fir

<dl>

 <dt>fit</dt>
<dd>An <code>ncvreg</code> or <code>ncvsurv</code> object.</dd>

 <dt>...</dt>
<dd>Arguments to pass to <code>mfdr</code>.</dd>

</dl>

fir: Marginal false discovery rates

Description

Usage

Arguments

Details