plot_km

Plots a series of population Kaplan-Meier curves for different thresholds for both 
the test predictions and the ground truth

visualization

A tool for survival analysis using a discrete time approach with ensemble binary classification. 'spect' provides a
simple interface consistent with commonly used R data analysis packages, such as 'caret', a variety of parameter options
to help facilitate search automation, a high degree of transparency to the end-user - all intermediate data sets and
parameters are made available for further analysis and useful, out-of-the-box visualizations of model performance. Methods
for transforming survival data into discrete-time are adapted from the 'autosurv' package by Suresh et al., (2022)
<doi:10.1186/s12874-022-01679-6>.

Stephen Abrams

spect

Survival Prediction Ensemble Classification Tool

plot_km function

<dl><dt>train_result</dt>
<dd>return data object from `spect_train`</dd>
<dt>prediction_threshold_search_granularity</dt>
<dd>optional number between zero and one 
which defines the granularity of searching for cumulative probability thresholds. 
For instance, search a value of 0.05 will search 19 thresholds (0.05, 0.10, ..., 0.95)</dd></dl>

Arguments

Stephen Abrams, <a href="/link/stephen.abrams%40louisville.edu?package=spect&version=1.0" data-mini-rdoc="spect::stephen.abrams@louisville.edu">stephen.abrams@louisville.edu</a>

Author

Plots a series of population Kaplan-Meier curves for different thresholds for both 
the test predictions and the ground truth — plot_km

<dl>

<dt>train_result</dt>
<dd>return data object from `spect_train`</dd>


<dt>prediction_threshold_search_granularity</dt>
<dd>optional number between zero and one 
which defines the granularity of searching for cumulative probability thresholds. 
For instance, search a value of 0.05 will search 19 thresholds (0.05, 0.10, ..., 0.95)</dd>

</dl>

Stephen Abrams, <a href='mailto:stephen.abrams@louisville.edu'>stephen.abrams@louisville.edu</a>

plot_km: Plots a series of population Kaplan-Meier curves for different thresholds for both the test predictions and the ground truth

Description

Usage

Value

Arguments

Author