score_func_sample: Score values of the sample per parameter
In submission-user/cmlDIFlasso: DIF-detection with Lasso-methods in a cML-Framework
Description
Usage
Arguments
Value
Description
Calculates the derivatives of the conditional Loglikelihood with respect
to each intercept and delta parameter for the full sample.
Usage
1
score_func_sample(beta_intercepts, delta, covariates, Y)
Arguments
beta_intercepts
Vecotr of beta intercept values.
delta
A (ncovs x nitems) matrix containing the DIF-parameter values.
covariates
A (npersons x ncovs) matrix containing the covariate values.
Y
(npersons x nitems) matrix of answers of all persons to all items.
Value
a list containing the values of the score function
score_betas
Values of the score function for every intercept.
score_deltas
Values of the score function for every delta-parameter (ncovs x nitems)
submission-user/cmlDIFlasso documentation built on Dec. 23, 2021, 6:40 a.m.
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Description Usage Arguments Value
Description
Calculates the derivatives of the conditional Loglikelihood with respect to each intercept and delta parameter for the full sample.
Usage
1 | score_func_sample(beta_intercepts, delta, covariates, Y)
|
Arguments
beta_intercepts |
Vecotr of beta intercept values. |
delta |
A (ncovs x nitems) matrix containing the DIF-parameter values. |
covariates |
A (npersons x ncovs) matrix containing the covariate values. |
Y |
(npersons x nitems) matrix of answers of all persons to all items. |
Value
a list containing the values of the score function
score_betas |
Values of the score function for every intercept. |
score_deltas |
Values of the score function for every delta-parameter (ncovs x nitems) |
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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