Spatio-temporal fixation point-process models

Spatio-temporal fixation point-process models. These functions form the eyeprocess 0.6.0.9000 measurement-intelligence programme and use dependency-free reference implementations with explicit evidence limits.

Usage

fit_fixation_point_process(x, spatial_covariates = NULL, temporal_covariates = NULL,
  interaction = c("none", "self_exciting"), x_col = "x", y_col = "y",
  time_col = "time", grid_size = 20)
fit_marked_gaze_process(x, marks = c("duration", "pupil", "saccade_amplitude"),
  x_col = "x", y_col = "y", time_col = "time")
predict_fixation_intensity(model, new_stimulus = NULL)
diagnose_gaze_point_process(model)
plot_fixation_intensity(x, ...)
plot_spatial_residuals(x, ...)
plot_temporal_excitation_kernel(x, ...)
plot_covariate_effect_surface(x, ...)
plot_observed_expected_fixations(x, ...)

Arguments

x

Input object or data structure appropriate for the selected analysis.

spatial_covariates

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

temporal_covariates

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

interaction

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

x_col

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

y_col

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

time_col

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

grid_size

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

marks

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

model

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

new_stimulus

Argument controlling `new_stimulus`; 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().