boot.mirt: Calculate bootstrapped standard errors for estimated models

In xzhaopsy/MIRT: Multidimensional Item Response Theory

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 [e-mail]

References

Chalmers, R., P. (2012). mirt: A Multidimensional Item Response Theory Package for the R Environment. Journal of Statistical Software, 48(6), 1-29. doi: 10.18637/jss.v048.i06

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)

xzhaopsy/MIRT documentation built on May 29, 2019, 12:42 p.m.