aggregate_resample_run_results.rm_confusion_matrix: A result metric (RM) method to aggregate results over...

In emeyers/NeuroDecodeR: Decode Information from Neural Activity

A result metric (RM) method to aggregate results over resample runs

Description

This is a function that must be implemented by all RM objects. This function is called by the cross-validator to aggregate results across all resample runs. This method should not be called directly but instead it is used internally by the cross-validator (CV) object.

Usage

## S3 method for class 'rm_confusion_matrix'
aggregate_resample_run_results(resample_run_results)

Arguments

resample_run_results

The decoding results from all resample runs.

Value

A result metric object that contains the decoding results aggregated across resample runs. This compressed final results can be plotted (often by using the RM plot methods).

See Also

rm_main_results(), rm_confusion_matrix()

emeyers/NeuroDecodeR documentation built on March 17, 2024, 6:05 p.m.