Description Usage Arguments Value References See Also
View source: R/TMS_Classifier.R
Detect and remove outliers from a dataset using per subject Brier scores (Brier, 1950).
1 |
data |
A matrix or data.frame containing subjects as rows and TMS parameters as columns. A further column specifying subject diagnosis is required to run RFC cross-validation. |
status |
Numeric value specifying subject diagnosis (default status = 10). |
k |
Number of cross-validation cycles (default k = 5). |
b |
Maximum Brier score beyond which a subject is considered as an outlier. By default, b = 1. If b is set to NULL, outliers will be automatically set to Q3 + 1.5*(Q3 - Q1). |
The input data.frame without outliers.
Brier GW (1950). Verification of forecasts expressed in terms of probability. Monthly Weather Review, 78(1):1-3. https://doi.org/10.1175/1520-0493(1950)078<0001:VOFEIT>2.0.CO;2
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