aggregate_resample_run_results.rm_main_results

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.

internal

Neural decoding is method of analyzing neural data that
uses a pattern classifiers to predict experimental conditions based
on neural activity. 'NeuroDecodeR' is a system of objects that
makes it easy to run neural decoding analyses. For more information
on neural decoding see Meyers & Kreiman (2011)
<doi:10.7551/mitpress/8404.003.0024>.

Ethan Meyers

NeuroDecodeR

Decode Information from Neural Activity

aggregate_resample_run_results.rm_main_results function

<dl><dt>resample_run_results</dt>
<dd>The decoding results from all resample runs.</dd></dl>

Arguments

A result metric (RM) method to aggregate results over resample runs — aggregate_resample_run_results.rm_main_results

<dl>

<dt>resample_run_results</dt>
<dd>The decoding results from all resample runs.</dd>

</dl>

aggregate_resample_run_results.rm_main_results: A result metric (RM) method to aggregate results over resample runs

Description

Usage

Value

Arguments

See Also