summary.mfrm_plausible_values: Summarize approximate plausible values from posterior scoring

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

Summarize approximate plausible values from posterior scoring

Description

Summarize approximate plausible values from posterior scoring

Usage

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

Arguments

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

Value

An object of class summary.mfrm_plausible_values with:

• draw_summary: empirical summaries of the sampled values by person

• estimates: companion posterior EAP summaries

• row_review: row-preparation review

• population_review: optional person-level omission review for latent-regression scoring

• settings: scoring settings

• notes: interpretation notes

See Also

sample_mfrm_plausible_values()

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 = 30
  )
)
new_units <- data.frame(
  Person = c("NEW01", "NEW01"),
  Rater = unique(toy$Rater)[1],
  Criterion = unique(toy$Criterion)[1:2],
  Score = c(2, 3)
)
pv <- sample_mfrm_plausible_values(toy_fit, new_units, n_draws = 3, seed = 1)
summary(pv)

mfrmr documentation built on June 13, 2026, 1:07 a.m.