diff_true: Simulated difficulty parameters
In converseg/ML2Pvae: Variational Autoencoder Models for IRT Parameter Estimation
Description
Usage
Format
Source
Description
Difficulty parameters for an exam with 30 items.
Usage
1
Format
A data frame with 30 rows and one column.
Each entry corresponds to the true value of a particular difficulty parameter.
Source
Each entry is sampled uniformly from [-3,3].
converseg/ML2Pvae documentation built on April 6, 2021, 1:46 a.m.
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Description Usage Format Source
Description
Difficulty parameters for an exam with 30 items.
Usage
1 |
Format
A data frame with 30 rows and one column. Each entry corresponds to the true value of a particular difficulty parameter.
Source
Each entry is sampled uniformly from [-3,3].
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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