R: Calculate bootstrapped standard errors for estimated models

boot.mirt {mirt}

R Documentation

Calculate bootstrapped standard errors for estimated models

Description

Given an internal mirt object estimate the bootstrapped standard errors. It may be beneficial to run the computations using multi-core architecture (e.g., the parallel package). Parameters are organized from the freely estimated values in mod2values(x) (equality constraints will also be returned in the bootstrapped estimates).

Usage

boot.mirt(x, R = 100, technical = NULL, ...)

Arguments

`x`	an estimated model object
`R`	number of draws to use (passed to the `boot()` function)
`technical`	technical arguments passed to estimation engine. See `mirt` for details
`...`	additional arguments to be passed on to `boot(...)` and estimation engine

Author(s)

Phil Chalmers rphilip.chalmers@gmail.com

Examples


## Not run: 

#standard
mod <- mirt(Science, 1)
booted <- boot.mirt(mod, R=20)
plot(booted)
booted

#run in parallel using snow back-end using all available cores
mod <- mirt(Science, 1)
booted <- boot.mirt(mod, parallel = 'snow', ncpus = parallel::detectCores())
booted



## End(Not run)

[Package mirt version 1.21 Index]