align_survival_curve

Aligns a survival curve (defined by time points and survival probabilities)
to a new set of evaluation times using constant interpolation (last value
carried forward). Ensures \(S(0) = 1\) and monotonicity.

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

align_survival_curve function

<dl><dt>curve_times</dt>
<dd>Numeric vector of time points from the survival curve.</dd>
<dt>curve_surv</dt>
<dd>Numeric vector of survival probabilities corresponding to
<code>curve_times</code>.</dd>
<dt>eval_times</dt>
<dd>Numeric vector of new time points to evaluate at.</dd></dl>

Arguments

Align Survival Curve to Evaluation Times — align_survival_curve

<dl>

<dt>curve_times</dt>
<dd>Numeric vector of time points from the survival curve.</dd>


<dt>curve_surv</dt>
<dd>Numeric vector of survival probabilities corresponding to
<code>curve_times</code>.</dd>


<dt>eval_times</dt>
<dd>Numeric vector of new time points to evaluate at.</dd>

</dl>

align_survival_curve: Align Survival Curve to Evaluation Times

Description

Usage

Value

Arguments