038-informative-missingness: Informative missingness and MNAR sensitivity

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

Informative missingness and MNAR sensitivity

Description

Informative missingness and MNAR sensitivity. These functions form the eyeprocess 0.6.0.9000 measurement-intelligence programme and use dependency-free reference implementations with explicit evidence limits.

Usage

fit_process_observation_model(x, observed, predictors, random = c("person", "item"))
fit_joint_signal_missingness(outcome, observation, method = c("selection",
  "shared_parameter"), x = NULL, predictors = NULL)
process_pattern_mixture(x, delta = seq(-1, 1, 0.1), metric = NULL, estimand = mean)
sensitivity_mnar_process(x, estimand = mean, null = 0, ...)
plot_observation_probability(x, ...)
plot_missingness_by_time(x, ...)
plot_missingness_by_aoi(x, ...)
plot_mnar_tipping_point(x, ...)
plot_complete_case_sensitivity(x, ...)

Arguments

x	Input object or data structure appropriate for the selected analysis.
observed	Argument controlling 'observed'; see the function usage and returned audit metadata.
predictors	Argument controlling 'predictors'; see the function usage and returned audit metadata.
random	Argument controlling 'random'; see the function usage and returned audit metadata.
outcome	Argument controlling 'outcome'; see the function usage and returned audit metadata.
observation	Argument controlling 'observation'; see the function usage and returned audit metadata.
method	Argument controlling 'method'; see the function usage and returned audit metadata.
delta	Argument controlling 'delta'; see the function usage and returned audit metadata.
metric	Argument controlling 'metric'; see the function usage and returned audit metadata.
estimand	Argument controlling 'estimand'; see the function usage and returned audit metadata.
null	Argument controlling 'null'; see the function usage and returned audit metadata.
...	Additional arguments passed to the underlying method or plotting function.

Details

The APIs return auditable S3 objects. Plot wrappers call registered base-graphics methods. Experimental or approximate engines are labelled in object status fields and should be validated before confirmatory or operational use.

Value

An eyeprocess result object, data frame, model object, plot, or audit table as documented by the individual function.

See Also

plot_diagnostics(), plot_evidence(), and plot_sensitivity().

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