plot.glmreg

Produces a coefficient profile plot of the coefficient paths for a
fitted <code>"glmreg"</code> object.

models

regression

Algorithms compute robust estimators for loss functions in the concave convex (CC) family by the iteratively reweighted convex optimization (IRCO), an extension of the iteratively reweighted least squares (IRLS). The IRCO reduces the weight of the observation that leads to a large loss; it also provides weights to help identify outliers. Applications include robust (penalized) generalized linear models and robust support vector machines. The package also contains penalized Poisson, negative binomial, zero-inflated Poisson, zero-inflated negative binomial regression models and robust models with non-convex loss functions. Wang et al. (2014) <doi:10.1002/sim.6314>,
Wang et al. (2015) <doi:10.1002/bimj.201400143>,
Wang et al. (2016) <doi:10.1177/0962280214530608>,
Wang (2021) <doi:10.1007/s11749-021-00770-2>,
Wang (2024) <doi:10.1111/anzs.12409>.

Zhu Wang

mpath

Regularized Linear Models

plot.glmreg function

<dl> <dt>x</dt>
<dd>fitted <code>"glmreg"</code> model</dd> <dt>xvar</dt>
<dd>What is on the X-axis. <code>"norm"</code> plots against the
 L1-norm of the coefficients, <code>"lambda"</code> against the log-lambda
 sequence, and <code>"dev"</code> against the percent deviance explained.</dd> <dt>label</dt>
<dd>If <code>TRUE</code>, label the curves with variable sequence
 numbers.</dd> <dt>shade</dt>
<dd>Should nonconvex region be shaded? Default is TRUE. Code developed for all <code>weights=1</code> only</dd> <dt>...</dt>
<dd>Other graphical parameters to plot</dd></dl>

Arguments

Author

plot coefficients from a "glmreg" object — plot.glmreg

<dl>

 <dt>x</dt>
<dd>fitted <code>"glmreg"</code> model</dd>

 <dt>xvar</dt>
<dd>What is on the X-axis. <code>"norm"</code> plots against the
 L1-norm of the coefficients, <code>"lambda"</code> against the log-lambda
 sequence, and <code>"dev"</code> against the percent deviance explained.</dd>

 <dt>label</dt>
<dd>If <code>TRUE</code>, label the curves with variable sequence
 numbers.</dd>

 <dt>shade</dt>
<dd>Should nonconvex region be shaded? Default is TRUE. Code developed for all <code>weights=1</code> only</dd>

 <dt>...</dt>
<dd>Other graphical parameters to plot</dd>

</dl>

plot.glmreg: plot coefficients from a "glmreg" object

Description

Usage

Arguments

Author

Details

See Also

Examples