This function conducts nonparametric and parametric bootstrap to calculate standard errors of model parameters. Parametric bootstrap is only applicable to single group models.

bootSE(GDINA.obj, bootsample = 50, type = "nonparametric",
randomseed = 12345)

## Arguments

GDINA.obj an object of class GDINA the number of bootstrap samples type of bootstrap method. Can be parametric or nonparametric random seed for resampling

## Value

itemparm.se standard errors for item probability of success in list format

delta.se standard errors for delta parameters in list format

lambda.se standard errors for structural parameters of joint attribute distribution

boot.est resample estimates

## Examples

if (FALSE) {
# For illustration, only 5 resamples are run
# results are definitely not reliable

dat <- sim30GDINA$simdat Q <- sim30GDINA$simQ
fit <- GDINA(dat = dat, Q = Q, model = "GDINA",att.dist = "higher.order")
boot.fit <- bootSE(fit,bootsample = 5,randomseed=123)
boot.fit$delta.se boot.fit$lambda.se
}