Cross-device and cross-vendor metric linking

Cross-device and cross-vendor metric linking. These functions form the eyeprocess 0.6.0.9000 measurement-intelligence programme and use dependency-free reference implementations with explicit evidence limits.

Usage

fit_device_linking(x, metric, reference_device, method = c("mixed_bland_altman",
  "hierarchical", "equipercentile"), device_col = "device", id_cols = c("person_id",
  "item_id"))
apply_device_linking(x, linking_model, metric = NULL, device_col = NULL,
  output_col = NULL)
audit_device_equivalence(x, equivalence_margin, by = c("metric", "task", "aoi"))
estimate_device_specific_error(x)
plot_device_agreement(x, ...)
plot_device_bias_by_magnitude(x, ...)
plot_device_transfer_curve(x, ...)
plot_device_equivalence_intervals(x, ...)
plot_cross_vendor_metric_matrix(x, ...)

Arguments

x

Input object or data structure appropriate for the selected analysis.

metric

Argument controlling `metric`; see the function usage and returned audit metadata.

reference_device

Argument controlling `reference_device`; see the function usage and returned audit metadata.

method

Argument controlling `method`; see the function usage and returned audit metadata.

device_col

Argument controlling `device_col`; see the function usage and returned audit metadata.

id_cols

Argument controlling `id_cols`; see the function usage and returned audit metadata.

linking_model

Argument controlling `linking_model`; see the function usage and returned audit metadata.

output_col

Argument controlling `output_col`; see the function usage and returned audit metadata.

equivalence_margin

Argument controlling `equivalence_margin`; see the function usage and returned audit metadata.

by

Argument controlling `by`; 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().