responses: Response data
In ML2Pvae: Variational Autoencoder Models for IRT Parameter Estimation
responses R Documentation
Response data
Description
Simulated response sets for 5000 students on an exam with 30 items.
Usage
responses
Format
A data frame with 30 columns and 5000 rows.
Entry [j,i] is 1 if student j answers item i correctly, and 0 otherwise.
Source
Generated by sampling from the probability of student success
on a given item according to the ML2P model. Model parameters can be found in
diff_true.rda, disc_true.rda, and theta_true.rda.
ML2Pvae documentation built on May 23, 2022, 9:05 a.m.
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| responses | R Documentation |
Response data
Description
Simulated response sets for 5000 students on an exam with 30 items.
Usage
responses
Format
A data frame with 30 columns and 5000 rows.
Entry [j,i] is 1 if student j answers item i correctly, and 0 otherwise.
Source
Generated by sampling from the probability of student success
on a given item according to the ML2P model. Model parameters can be found in
diff_true.rda, disc_true.rda, and theta_true.rda.
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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