plot.cv.grpnet

Plots the mean cross-validation error, along with lower and upper standard deviation curves, as a function of <code>log(lambda)</code>.

 graphs

Efficient algorithms for fitting generalized linear and additive models with group elastic net penalties as described in Helwig (2024) <doi:10.1080/10618600.2024.2362232>. Implements group LASSO, group MCP, and group SCAD with an optional group ridge penalty. Computes the regularization path for linear regression (gaussian), logistic regression (binomial), multinomial logistic regression (multinomial), log-linear count regression (poisson and negative.binomial), and log-linear continuous regression (gamma and inverse gaussian). Supports default and formula methods for model specification, k-fold cross-validation for tuning the regularization parameters, and nonparametric regression via tensor product reproducing kernel (smoothing spline) basis function expansion.

Nathaniel Helwig

grpnet

Group Elastic Net Regularized GLMs and GAMs

plot.cv.grpnet function

<dl> <dt>x</dt>
<dd>Object of class "cv.grpnet"</dd> <dt>sign.lambda</dt>
<dd>Default plots <code>log(lambda)</code> on the x-axis. Set to -1 to plot <code>-1*log(lambda)</code> on the x-axis instead.</dd> <dt>nzero</dt>
<dd>Should the number of non-zero groups be printed on the top of the x-axis?</dd> <dt>...</dt>
<dd>Additional arguments passed to the <code><a href="/link/plot?package=grpnet&version=0.5" data-mini-rdoc="grpnet::plot">plot</a></code> function.</dd></dl>

Arguments

Nathaniel E. Helwig &lt;helwig@umn.edu&gt;

Author

Plot Cross-Validation Curve for cv.grpnet Fits — plot.cv.grpnet

<dl>

 <dt>x</dt>
<dd>Object of class "cv.grpnet"</dd>

 <dt>sign.lambda</dt>
<dd>Default plots <code>log(lambda)</code> on the x-axis. Set to -1 to plot <code>-1*log(lambda)</code> on the x-axis instead.</dd>

 <dt>nzero</dt>
<dd>Should the number of non-zero groups be printed on the top of the x-axis?</dd>

 <dt>...</dt>
<dd>Additional arguments passed to the <code><a href='https://rdrr.io/r/graphics/plot.default.html'>plot</a></code> function.</dd>

</dl>

plot.cv.grpnet: Plot Cross-Validation Curve for cv.grpnet Fits

Description

Usage

Value

Arguments

Author

Details

References

See Also

Examples