train_model.mvpa_model | R Documentation |
This function trains a Multi-Variate Pattern Analysis (MVPA) model on the provided data, taking care of feature selection, parameter tuning, and model fitting.
## S3 method for class 'mvpa_model'
train_model(
obj,
train_dat,
y,
indices,
param = NULL,
wts = NULL,
tune_reps = 10,
...
)
obj |
An object of class |
train_dat |
Training data, an instance of class |
y |
The dependent variable (response variable), either a numeric vector or a factor. |
indices |
The spatial indices associated with each column. |
param |
Optional tuning parameters (default: NULL). If not provided, the function will perform tuning using |
wts |
Optional case weights (default: NULL). |
tune_reps |
The number of bootstrap replications for parameter tuning (default: 10), only used when |
... |
Additional arguments passed to other methods. |
A model fit object containing the trained model, its fit, the model type (classification or regression), the best tuning parameters, the voxel indices, and the feature mask.
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