score_func_person: Score function for one person
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 for all
intercept and delta parameters.
Usage
1
score_func_person(beta_person, y_person, covariates_person)
Arguments
beta_person
Parameter vector of a certain person.
y_person
Pattern of answers of a person.
covariates_person
Covariate values of a person.
Value
a list containing the values of the score function
scoref_betas
Values of the score function for every intercept.
scoref_delta
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 for all intercept and delta parameters.
Usage
1 | score_func_person(beta_person, y_person, covariates_person)
|
Arguments
beta_person |
Parameter vector of a certain person. |
y_person |
Pattern of answers of a person. |
covariates_person |
Covariate values of a person. |
Value
a list containing the values of the score function
scoref_betas |
Values of the score function for every intercept. |
scoref_delta |
Values of the score function for every delta-parameter (ncovs X nitems) |
R Package Documentation
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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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