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Synthetic Advanced Pupillometry Gallery

library(gp3bayes)
sim <- simulate_advanced_pupil_timecourse(
  n_participants = 14,
  trials_per_participant = 4,
  time_points = 35,
  heteroskedastic_strength = 0.7,
  ar = 0.5,
  outlier_fraction = 0.02,
  missing_fraction = 0.06,
  seed = 3080
)

Observed trajectories

plot_advanced_pupil_simulation(sim, observed = TRUE)

Stored latent mean

plot_advanced_pupil_simulation(sim, observed = FALSE)

Temporal dependence

temporal <- audit_pupil_temporal_dependence(sim$data)
plot_pupil_temporal_dependence(temporal)

Missingness

missing <- create_pupil_missingness_spec(response = "model")
measurement <- create_pupil_measurement_model(
  baseline_error = "baseline_se",
  luminance_error = "luminance_se",
  response_error = "pupil_se"
)

spec <- specify_advanced_pupil_timecourse_model(
  sim$data,
  covariates = c("baseline_pupil", "luminance"),
  measurement_model = measurement,
  missingness_model = missing,
  autocorrelation = "none"
)

missing_audit <- audit_pupil_missingness(spec)
plot_pupil_missingness(missing_audit)


measurement_audit <- audit_pupil_measurement_model(spec)
plot_pupil_measurement_uncertainty(measurement_audit)

Computational audit

plot_pupil_model_complexity(spec)

Binocular example

bi <- simulate_binocular_pupil_timecourse(
  n_participants = 10,
  trials_per_participant = 4,
  time_points = 31,
  seed = 3081
)
prep <- prepare_binocular_pupil_timecourse(bi$data)
audit_binocular_pupil_readiness(prep)
#> <gp3bayes_binocular_pupil_audit>
#>   Status: pass 
#>                    metric        value
#>                      rows 1.240000e+03
#>   left_available_fraction 9.741935e-01
#>  right_available_fraction 9.725806e-01
#>   both_available_fraction 9.661290e-01
#>     mean_right_minus_left 1.433966e-02
#>       sd_right_minus_left 3.038599e-02
#>       pearson_correlation 9.910785e-01

The gallery is intentionally backend-free so it can be built during package checks without compiling Stan. Full posterior plot examples are shown in the modelling vignettes with fitting code disabled by default.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.