Methods for dpmirt_fit Objects
dpmirt_fit-methods.RdPrint, summarize, and extract coefficients from a fitted DPMirt model.
Arguments
- x, object
A
dpmirt_fitobject fromdpmirt.- ...
Additional arguments (currently unused).
- type
For
coef: character,"items"(default) or"persons".
Value
print and summary return the input invisibly.
coef returns a data.frame of posterior mean estimates with
one row per item or person.
Details
print displays a concise one-screen summary: model type, data
dimensions, MCMC settings, WAIC, minimum ESS, and DPM cluster summary.
summary displays a comprehensive report including item parameter
posterior means and SDs, person ability range, DPM diagnostics, and timing.
coef extracts posterior mean point estimates for items
(type = "items") or persons (type = "persons").
See also
dpmirt for model fitting,
dpmirt_estimates for PM/CB/GR estimators,
dpmirt_diagnostics for detailed MCMC diagnostics
Other model fitting:
dpmirt(),
dpmirt_compile(),
dpmirt_resume(),
dpmirt_sample(),
dpmirt_spec()
Examples
if (FALSE) { # \dontrun{
sim <- dpmirt_simulate(200, 20, model = "rasch", seed = 42)
fit <- dpmirt(sim$response, model = "rasch", prior = "normal",
niter = 5000, nburnin = 1000, seed = 123)
# Print concise summary
print(fit)
# Detailed summary with item parameters
summary(fit)
# Extract item difficulty estimates
coef(fit, type = "items")
# Extract person ability estimates
coef(fit, type = "persons")
} # }