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Parametric Bootstrap for Leunbach Model with Standard Error of Equating

Source: R/bootstrap_direct.R
leunbach_bootstrap.Rd

Performs parametric bootstrapping to assess significance of tests and compute standard errors of equating (SEE) with confidence intervals. Supports parallel processing using the mirai package.

Usage

leunbach_bootstrap(
  fit,
  nsim = 1000,
  conf_level = 0.95,
  see_type = c("rounded", "expected"),
  method = c("optimize", "newton"),
  parallel = TRUE,
  n_cores = NULL,
  verbose = FALSE,
  seed = NULL
)

Arguments

fit

A leunbach_ipf object from leunbach_ipf()

nsim

Number of bootstrap samples (default: 1000)

conf_level

Confidence level for intervals (default: 0.95)

see_type

Type of SEE calculation: "rounded" uses rounded (integer) scores, "expected" uses continuous expected scores

method

Optimization method for person parameter estimation: "optimize" (default) uses stats::optimize() with Brent's method, "newton" uses custom Newton-Raphson with bisection fallback

parallel

Use parallel processing if mirai package is available (default: TRUE)

n_cores

Number of cores to use for parallel processing. Default NULL uses all available cores minus one.

verbose

Print progress messages

seed

Random seed for reproducibility (optional)

Value

A list of class "leunbach_bootstrap" containing bootstrap results and standard errors of equating