compute_uno_c_index

Calculates Uno's C-index (a time-dependent AUC measure) for survival data,
weighted by the inverse probability of censoring (IPCW).

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

compute_uno_c_index function

<dl><dt>train_time</dt>
<dd>Numeric vector of training times (used for censor model).</dd>
<dt>train_status</dt>
<dd>Numeric vector of training statuses (used for censor model).</dd>
<dt>test_time</dt>
<dd>Numeric vector of test times.</dd>
<dt>test_status</dt>
<dd>Numeric vector of test statuses.</dd>
<dt>risk_vec</dt>
<dd>Numeric vector of predicted risk scores for test data.</dd>
<dt>tau</dt>
<dd>The time horizon \(\tau\) for evaluation. If <code>NA</code> or
<code>&lt;= 0</code>, the maximum finite test time is used.</dd>
<dt>censor_eval_fn</dt>
<dd>A function (from <code>create_censor_eval</code>) that
evaluates the censoring survival function \(G(t)\).</dd></dl>

Arguments

Compute Uno's C-index (Time-Dependent AUC) — compute_uno_c_index

<dl>

<dt>train_time</dt>
<dd>Numeric vector of training times (used for censor model).</dd>


<dt>train_status</dt>
<dd>Numeric vector of training statuses (used for censor model).</dd>


<dt>test_time</dt>
<dd>Numeric vector of test times.</dd>


<dt>test_status</dt>
<dd>Numeric vector of test statuses.</dd>


<dt>risk_vec</dt>
<dd>Numeric vector of predicted risk scores for test data.</dd>


<dt>tau</dt>
<dd>The time horizon \(\tau\) for evaluation. If <code>NA</code> or
<code>&lt;= 0</code>, the maximum finite test time is used.</dd>


<dt>censor_eval_fn</dt>
<dd>A function (from <code>create_censor_eval</code>) that
evaluates the censoring survival function \(G(t)\).</dd>

</dl>

compute_uno_c_index: Compute Uno's C-index (Time-Dependent AUC)

Description

Usage

Value

Arguments