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Fit GLM with full config (AR/robust) on a transformed series

Source: R/aaa_plugin_api.R
fit_glm_with_config.Rd

Runs the same integrated solver used by fmri_lm, honoring AR/robust options from cfg, but on an externally provided response matrix Y (T×V). This is intended for engines that transform the time-series before inference.

Usage

fit_glm_with_config(
  model,
  Y,
  cfg = NULL,
  dataset = NULL,
  strategy = "external",
  engine = "external"
)

Arguments

model

An fmri_model describing the design.

Y

Numeric matrix with nrow(Y) time points and columns matching voxels.

cfg

Optional fmri_lm_config; defaults to fmri_lm_control().

dataset

Optional dataset backing the model. Defaults to model$dataset when available.

strategy

Character label recorded on the returned object. Defaults to "external".

engine

Character label indicating the engine that produced the fit. Defaults to "external".

Value

An object of class fmri_lm.