Description Usage Arguments Author(s) References See Also Examples
Given an estimated model and a prior density function, compute the marginal reliability. This is only available for unidimensional tests.
1 | marginal_rxx(mod, density = dnorm, ...)
|
mod |
an object of class |
density |
a density function to use for integration. Default assumes the latent traits are from a normal (Gaussian) distribution |
... |
additional arguments passed to the density function |
Phil Chalmers rphilip.chalmers@gmail.com
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
empirical_rxx
, extract.group
, testinfo
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | ## Not run:
dat <- expand.table(deAyala)
mod <- mirt(dat, 1)
# marginal estimate
marginal_rxx(mod)
# empirical estimate (assuming the same prior)
fscores(mod, returnER = TRUE)
# empirical rxx the alternative way, given theta scores and SEs
fs <- fscores(mod, full.scores.SE=TRUE)
head(fs)
empirical_rxx(fs)
## End(Not run)
|
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