extract_survreg_components

Computes the linear predictor (lp) and scale parameter(s) for new data
from a fitted <code>survreg</code> model.

internal

Provides a guarded resampling workflow for training and evaluating machine‑learning models.
When the guarded resampling path is used, preprocessing and model fitting are re‑estimated within
each resampling split to reduce leakage risk. Supports multiple resampling schemes, integrates
with established engines in the 'tidymodels' ecosystem, and aims to improve evaluation reliability by
coordinating preprocessing, fitting, and evaluation within supported workflows. Offers a lightweight
AutoML‑style workflow by automating model training, resampling, and tuning across multiple algorithms,
while keeping evaluation design explicit and user‑controlled.

Selcuk Korkmaz

fastml

Guarded Resampling Workflows for Safe and Automated Machine
Learning in R

Dincer Goksuluk

Eda Karaismailoglu

extract_survreg_components function

<dl><dt>fit_obj</dt>
<dd>A fitted <code>survreg</code> object.</dd>
<dt>new_data</dt>
<dd>A data frame with predictor variables.</dd></dl>

Arguments

Extract survreg Linear Predictor and Scale — extract_survreg_components

<dl>

<dt>fit_obj</dt>
<dd>A fitted <code>survreg</code> object.</dd>


<dt>new_data</dt>
<dd>A data frame with predictor variables.</dd>

</dl>

extract_survreg_components: Extract survreg Linear Predictor and Scale

Description

Usage

Value

Arguments