Simple list-based S3 class returned by lss_with_hrf containing
trial-wise beta estimates. as.matrix() materializes C++-backed estimates
as a dense matrix while preserving voxel names, sampling-frame,
normalization, and unit metadata.
Value
No value itself. This topic documents the object returned by
lss_with_hrf(..., engine = "C++").
Stored fields
betas is the file-backed trial-by-voxel matrix; dimnames preserves trial
and voxel identity; sframe, normalization, units, degenerate, and
event_amplitude and event_duration define timing and coefficient
interpretation; and
engine_requested, engine_used, and chunk_size record execution. Use
as.matrix() for the documented dense extraction path; these metadata are
retained as matrix attributes.
Examples
# \donttest{
Y <- matrix(rnorm(100), 50, 2)
events <- data.frame(onset = c(5, 25), duration = 1, condition = "A")
basis <- fmrihrf::HRF_SPMG1
sframe <- fmrihrf::sampling_frame(blocklens = nrow(Y), TR = 1)
est <- estimate_voxel_hrf(Y, events, basis, sframe = sframe)
fit <- lss_with_hrf(Y, events, est, engine = "C++", verbose = FALSE)
class(fit)
#> [1] "LSSBeta"
# }