mirt (version 1.35.1)

boot.mirt: 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

References

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

Examples

# NOT RUN {
# }
# 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


# }