disc_true: Simulated discrimination parameters
In ML2Pvae: Variational Autoencoder Models for IRT Parameter Estimation
disc_true R Documentation
Simulated discrimination parameters
Description
Difficulty parameters for an exam of 30 items assessing 3 latent abilities.
Usage
disc_true
Format
A data frame with 3 rows and 30 columns. Entry [k,i] represents the discrimination
parameter between item i and ability k.
Source
Each entry is sampled uniformly from [0.25,1.75].
If an entry in q_matrix.rda is 0, then so is the corresponding entry in disc_true.rda.
ML2Pvae documentation built on May 23, 2022, 9:05 a.m.
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| disc_true | R Documentation |
Simulated discrimination parameters
Description
Difficulty parameters for an exam of 30 items assessing 3 latent abilities.
Usage
disc_true
Format
A data frame with 3 rows and 30 columns. Entry [k,i] represents the discrimination
parameter between item i and ability k.
Source
Each entry is sampled uniformly from [0.25,1.75].
If an entry in q_matrix.rda is 0, then so is the corresponding entry in disc_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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