Fits a linear superposition model of overlapping event kernels. This is a
transparent reference deconvolution layer, not a universal physiological model.
Usage
fit_pupil_event_deconvolution(
data,
by = c("person_id", "trial_id"),
time = "time_ms",
pupil = "pupil_bc",
events = list(stimulus = 0),
tmax_ms = 930,
shape = 10.1,
min_samples = 20L
)
Arguments
- data
Sample-level pupil data.
- by
Grouping columns, typically person and trial.
- time, pupil
Column names.
- events
Named list mapping event labels to scalar event times or columns.
- tmax_ms, shape
Kernel parameters.
- min_samples
Minimum usable samples per group.
