fit_model: Fit Model

In bbuchsbaum/rMVPA: Multivoxel Pattern Analysis in R

Fit Model

Description

Fit a classification or regression model.

Usage

fit_model(
  obj,
  roi_x,
  y,
  wts,
  param,
  lev = NULL,
  last = FALSE,
  classProbs = FALSE,
  ...
)

Arguments

obj	A model fitting object.
roi_x	An ROI containing the training data.
y	The response vector.
wts	A set of case weights.
param	Tuning parameters.
lev	Factor levels (for classification).
last	Logical indicating if this is the last iteration.
classProbs	Logical indicating if class probabilities should be returned.
...	Additional arguments to be passed to the method-specific function.

Examples

  ds <- gen_sample_dataset(
    D = c(6, 6, 6), nobs = 20,
    response_type = "categorical",
    data_mode = "image", nlevels = 2
  )
  mdl <- load_model("sda_notune")
  mspec <- mvpa_model(
    model = mdl,
    dataset = ds$dataset,
    design = ds$design,
    model_type = "classification"
  )
  grid <- tune_grid(mspec, ds$dataset$train_data, ds$design$y_train, len = 1)
  fit <- fit_model(mspec, ds$dataset$train_data,
                   ds$design$y_train, wts = NULL, param = grid)

bbuchsbaum/rMVPA documentation built on June 10, 2025, 8:23 p.m.