Fit GLM from sufficient statistics — fit_glm_from

Computes OLS/GLS-equivalent estimates from cross-products without materializing the transformed series. Engines can stream XtX, XtS, and StS and call this to obtain a standard fmri_lm object. AR/robust are not estimated here; this is a low-level helper for OLS-equivalent inference from suffstats.

Usage

fit_glm_from_suffstats(
  model,
  XtX,
  XtS,
  StS,
  df,
  cfg = NULL,
  dataset = NULL,
  strategy = "external",
  engine = "external"
)

Arguments

model: An fmri_model describing the design.
XtX: p×p cross-product of the design matrix.
XtS: p×V cross-product of design with data.
StS: length-V vector of sum of squares per voxel.
df: Residual degrees of freedom.
cfg: Optional fmri_lm_config; used for metadata only.
dataset: Optional dataset backing the model.
strategy: Character label for the returned object.
engine: Character label for the returned object.

Value

An object of class fmri_lm.