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/>.

Regularization Paths for SCAD and MCP Penalized Regression
Models

package-ubuntu-20.04-r-4.0.5#cran#ncvreg-3.13.0

<p>Estimates the marginal false discovery rate (mFDR) of a penalized
regression model.</p>

<table summary="R argblock">
<tr valign="top">
<td><code>fit</code></td>
<td>
<p>An <code>ncvreg</code> or <code>ncvsurv</code> object.</p>
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
<p>Arguments to pass to <code><a href="mfdr.html">mfdr</a></code>.</p>
</td>
</tr>
</table>

<p>This function has been renamed and is currently deprecated.  Use
<code><a href="mfdr.html">mfdr</a></code> instead.
</p>

package-ubuntu-20.04-r-4.0.5#cran#ncvreg-3.13.0#docs#deprecated

`fit`	An `ncvreg` or `ncvsurv` object.
`...`	Arguments to pass to `mfdr`.

deprecated

Description

Usage

Arguments

Details

ncvreg

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