simulate.tramnet

simulate method for class <code>"tramnet"</code>

Partially penalized versions of specific transformation models
implemented in package 'mlt'. Available models include a fully parametric version
of the Cox model, other parametric survival models (Weibull, etc.), models for
binary and ordered categorical variables, normal and transformed-normal (Box-Cox type)
linear models, and continuous outcome logistic regression. Hyperparameter tuning
is facilitated through model-based optimization functionalities from package 'mlrMBO'.
The accompanying vignette describes the methodology used in 'tramnet' in detail.
Transformation models and model-based optimization are described in
Hothorn et al. (2019) <doi:10.1111/sjos.12291> and
Bischl et al. (2016) <doi:10.48550/arXiv.1703.03373>, respectively.

Lucas Kook

tramnet

Penalized Transformation Models

Balint Tamasi

Sandra Siegfried

Samuel Pawel

Torsten Hothorn

simulate.tramnet function

<dl><dt>object</dt>
<dd>object of class <code>"tramnet"</code></dd>
<dt>nsim</dt>
<dd>number of simulation</dd>
<dt>seed</dt>
<dd>random number generator seed</dd>
<dt>newdata</dt>
<dd>new data to simulate from</dd>
<dt>bysim</dt>
<dd>see <code>simulate.ctm</code></dd>
<dt>...</dt>
<dd>Additional arguments to <code>simulate.ctm</code></dd></dl>

Arguments

Author

simulate method for class "tramnet" — simulate.tramnet

<dl>

<dt>object</dt>
<dd>object of class <code>"tramnet"</code></dd>


<dt>nsim</dt>
<dd>number of simulation</dd>


<dt>seed</dt>
<dd>random number generator seed</dd>


<dt>newdata</dt>
<dd>new data to simulate from</dd>


<dt>bysim</dt>
<dd>see <code>simulate.ctm</code></dd>


<dt>...</dt>
<dd>Additional arguments to <code>simulate.ctm</code></dd>

</dl>

simulate.tramnet: simulate method for class `"tramnet"`

Description

Usage

Value

Arguments

Author