Wraps already-computed posterior prediction draws for examples, reporting,
and reproducible post-fit analysis without pretending that fitting occurred
in the current session.
Usage
as_pupil_prediction_draws(
draws,
grid,
unit,
type = c("expected", "posterior_predictive", "linear"),
max_cells = 5000000L
)
Arguments
- draws
Numeric matrix with posterior draws in rows and grid points in
columns.
- grid
Data frame with one row per draw column. It should contain
.event_time and may contain .condition, .participant, and .item.
- unit
Declared pupil unit.
- type
Prediction type label.
- max_cells
Maximum draw-by-grid cells.
Value
A gp3bayes_pupil_prediction.
Examples
grid <- expand.grid(
.event_time = seq(0, 1, length.out = 5),
.condition = factor(c("control", "treatment"))
)
draws <- matrix(rnorm(1000), nrow = 100, ncol = nrow(grid))
prediction <- as_pupil_prediction_draws(
draws, grid, unit = "millimetres"
)
