Conditional process reference centiles
045-process-norms.RdConditional process reference centiles. 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_norms(x, metric, covariates, family = c("auto", "gaussian",
"lognormal"))
predict_process_centiles(model, newdata, centiles = c(2.5, 10, 25, 50, 75, 90,
97.5))
score_process_deviation(model, newdata, type = c("z", "centile",
"tail_probability"))
audit_norm_transportability(model, new_sample)
plot_process_centiles(x, ...)
plot_normative_fan(x, ...)
plot_person_normative_profile(x, ...)
plot_item_normative_deviation(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.
- covariates
Argument controlling `covariates`; see the function usage and returned audit metadata.
- family
Argument controlling `family`; see the function usage and returned audit metadata.
- model
Argument controlling `model`; see the function usage and returned audit metadata.
- newdata
Argument controlling `newdata`; see the function usage and returned audit metadata.
- centiles
Argument controlling `centiles`; see the function usage and returned audit metadata.
- type
Argument controlling `type`; see the function usage and returned audit metadata.
- new_sample
Argument controlling `new_sample`; 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.