h1_init

Initializes the Processed Additive Predictor for TM's Interaction

Allows for the specification of deep conditional transformation
models (DCTMs) and ordinal neural network transformation models, as
described in Baumann et al (2021) <doi:10.1007/978-3-030-86523-8_1> and
Kook et al (2022) <doi:10.1016/j.patcog.2021.108263>. Extensions such as
autoregressive DCTMs (Ruegamer et al, 2023, <doi:10.1007/s11222-023-10212-8>)
and transformation ensembles (Kook et al, 2022, <doi:10.48550/arXiv.2205.12729>)
are implemented. The software package is described in Kook et al (2024,
<doi:10.18637/jss.v111.i10>).

Lucas Kook

deeptrafo

Fitting Deep Conditional Transformation Models

Philipp Baumann

David Ruegamer

h1_init function

<dl><dt>yterms</dt>
<dd>Terms for the response</dd>
<dt>h1pred</dt>
<dd>Interacting predictor</dd>
<dt>add_const_positiv</dt>
<dd>Shift basis for the predictors to be strictly
positive</dd></dl>

Arguments

Initializes the Processed Additive Predictor for TM's Interaction — h1_init

<dl>

<dt>yterms</dt>
<dd>Terms for the response</dd>


<dt>h1pred</dt>
<dd>Interacting predictor</dd>


<dt>add_const_positiv</dt>
<dd>Shift basis for the predictors to be strictly
positive</dd>

</dl>

h1_init: Initializes the Processed Additive Predictor for TM's Interaction

Description

Usage

Value

Arguments