sim18ccfa40: Simulated CCFA data with LI and missingness
In Jinsong-Chen/LAWBL: Latent (Variable) Analysis with Bayesian Learning
sim18ccfa40 R Documentation
Simulated CCFA data with LI and missingness
Description
Categorical CFA data simulated based on 18 items, 3 factors, and 4 categories
with local independence and 10 percent missingness at random; factorial correlation Φ=.3.
Usage
sim18ccfa40
Format
A list with components:
datA dataset with simulated responses of 1000 individuals to 18 items
qlamLoading pattern and values used to simulated the data
Jinsong-Chen/LAWBL documentation built on Aug. 31, 2022, 10:01 a.m.
R Package Documentation
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| sim18ccfa40 | R Documentation |
Simulated CCFA data with LI and missingness
Description
Categorical CFA data simulated based on 18 items, 3 factors, and 4 categories with local independence and 10 percent missingness at random; factorial correlation Φ=.3.
Usage
sim18ccfa40
Format
A list with components:
datA dataset with simulated responses of 1000 individuals to 18 items
qlamLoading pattern and values used to simulated the data
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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