irt_expected_item_response: Calculate expected item response for a population
In sebastianueckert/funsu: Collection of Useful Functions
Description
Usage
Arguments
Value
See Also
Examples
Description
The function calculates the expected item score for a given mirt IRT model and a specified population. If mean and variance are not provided, they are taken from the
mirt model object.
Usage
1
2
3
4
irt_expected_item_response(model, mu = NULL, sigma = NULL,
settings = settings.irt_expected())
settings.irt_expected(gq.quad_points = 5)
Arguments
model
A mirt model
mu
The mean of latent variable values
sigma
The variance-covariance matrix of the latent variable values
Value
A vector with the expected score for each item
See Also
Examples
1
2
fit <- mirt::mirt(mirt::Science, 1)
irt_expected_item_response(fit)
sebastianueckert/funsu documentation built on Nov. 5, 2019, 8:48 a.m.
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Description Usage Arguments Value See Also Examples
Description
The function calculates the expected item score for a given mirt IRT model and a specified population. If mean and variance are not provided, they are taken from the mirt model object.
Usage
1 2 3 4 | irt_expected_item_response(model, mu = NULL, sigma = NULL,
settings = settings.irt_expected())
settings.irt_expected(gq.quad_points = 5)
|
Arguments
model |
A |
mu |
The mean of latent variable values |
sigma |
The variance-covariance matrix of the latent variable values |
Value
A vector with the expected score for each item
See Also
Examples
1 2 | fit <- mirt::mirt(mirt::Science, 1)
irt_expected_item_response(fit)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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