conv2zipath

convert zeroinfl object to class zipath, which then can be used to predict new data

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

conv2zipath function

<dl> <dt>object</dt>
<dd>an object of class zeroinfl</dd> <dt>family</dt>
<dd>one of families in zeroinfl class</dd></dl>

Arguments

Zhu Wang &lt;zwang145@uthsc.edu&gt;

Author

convert zeroinfl object to class zipath — conv2zipath

<dl>

 <dt>object</dt>
<dd>an object of class zeroinfl</dd>

 <dt>family</dt>
<dd>one of families in zeroinfl class</dd>

</dl>

conv2zipath: convert zeroinfl object to class zipath

Description

Usage

Value

Arguments

Author