View source: R/050-process-irt-models-0-7.R
| fit_manyfacet_process_irt | R Documentation |
Fits crossed random effects for available person, item, device, session, site, algorithm, and AOI-definition facets. For a binary response this is a generalized many-facet reference model; it is not marketed as a FACETS software replica.
fit_manyfacet_process_irt(
data,
response = "response",
process = NULL,
person = "participant_id",
item = "item_id",
device = NULL,
session = NULL,
site = NULL,
algorithm = NULL,
aoi_definition = NULL,
process_family = c("gaussian", "poisson", "negative_binomial")
)
data |
Input data frame or compatible tabular object. |
response |
Response variable or response-column name. |
process |
Process variable or column name. |
person |
Person or participant identifier column. |
item |
Item identifier, name, or item column. |
device |
Device identifier or device facet. |
session |
Session identifier or session facet. |
site |
Site identifier or site facet. |
algorithm |
Algorithm identifier or algorithm facet. |
aoi_definition |
Value supplied to 'aoi_definition'; see Details for its model-specific role. |
process_family |
Distributional family for the process channel. |
An object of class "eye_manyfacet_process_irt", stored as a named list, with components "response_model", "process_model", "facets", "process_family", "status". It contains many-facet process IRT reference model and associated metadata or diagnostics needed to interpret the result.
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