plot_irf_uncertainty: Plot uncertainty for flexible item response functions

In eyeprocess: Harmonize Eye-Tracking, Pupillometry, Biometrics, and Psychometric Process Data

Plot uncertainty for flexible item response functions

Description

For the bundled spline-reference engine, standard errors are derived on the logit scale from the fitted GLM and transformed to response probabilities. Exact GPIRT engines should supply their own posterior uncertainty summaries.

Usage

plot_irf_uncertainty(
  object,
  item = 1L,
  theta_grid = seq(-4, 4, length.out = 101),
  level = 0.95,
  ...
)

Arguments

object	An 'eye_gpirt' object.
item	Item name or index.
theta_grid	Trait grid.
level	Pointwise confidence level for the spline-reference diagnostic.
...	Graphical arguments.

Value

A data frame containing plot uncertainty for flexible item response functions. Rows represent the analysis units and columns contain the identifiers, estimates, or diagnostics defined by the function.

eyeprocess documentation built on Sept. 28, 2026, 5:08 p.m.