simulate_DIF_data: Simulating DIF-data
In submission-user/cmlDIFlasso: DIF-detection with Lasso-methods in a cML-Framework
Description
Usage
Arguments
Value
Description
Draws binary data randomly for given item intercepts, DIF-parameters,
covariate values and person parameters. (Based on easiness parameters.)
Usage
1
simulate_DIF_data(betas, delta, covariates, thetas = 0)
Arguments
betas
beta_intercepts for all items (vector)
delta
values for DIF-parameters as matrix per item (cols) per covariate (rows)
covariates
Matrix of covariate values of all persons (n x ncovs)
thetas
vector of person parameters
Value
randomly drawn response matrix for DIF-model and given parameters
submission-user/cmlDIFlasso documentation built on Dec. 23, 2021, 6:40 a.m.
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Description Usage Arguments Value
Description
Draws binary data randomly for given item intercepts, DIF-parameters, covariate values and person parameters. (Based on easiness parameters.)
Usage
1 | simulate_DIF_data(betas, delta, covariates, thetas = 0)
|
Arguments
betas |
beta_intercepts for all items (vector) |
delta |
values for DIF-parameters as matrix per item (cols) per covariate (rows) |
covariates |
Matrix of covariate values of all persons (n x ncovs) |
thetas |
vector of person parameters |
Value
randomly drawn response matrix for DIF-model and given parameters
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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