summary.mfrm_unit_prediction: Summarize posterior unit scoring output

In mfrmr: Estimation and Diagnostics for Many-Facet Measurement Models

Summarize posterior unit scoring output

Description

Summarize posterior unit scoring output

Usage

## S3 method for class 'mfrm_unit_prediction'
summary(object, digits = 3, ...)

Arguments

object	Output from predict_mfrm_units().
digits	Number of digits used in numeric summaries.
...	Reserved for generic compatibility.

Value

An object of class summary.mfrm_unit_prediction with:

• estimates: posterior summaries by person

• audit: row-preparation audit

• settings: scoring settings

• notes: interpretation notes

See Also

predict_mfrm_units()

Examples

toy <- load_mfrmr_data("example_core")
keep_people <- unique(toy$Person)[1:18]
toy_fit <- suppressWarnings(
  fit_mfrm(
    toy[toy$Person %in% keep_people, , drop = FALSE],
    "Person", c("Rater", "Criterion"), "Score",
    method = "MML",
    quad_points = 5,
    maxit = 15
  )
)
new_units <- data.frame(
  Person = c("NEW01", "NEW01"),
  Rater = unique(toy$Rater)[1],
  Criterion = unique(toy$Criterion)[1:2],
  Score = c(2, 3)
)
pred_units <- predict_mfrm_units(toy_fit, new_units)
summary(pred_units)

mfrmr documentation built on March 31, 2026, 1:06 a.m.