sim18mcfa41: Simulated MCFA data with LD and Missingness
In LAWBL: Latent (Variable) Analysis with Bayesian Learning
sim18mcfa41 R Documentation
Simulated MCFA data with LD and Missingness
Description
CFA data mixed with continuous and categorical responses simulated based on 3 factors,
6 4-category items, 12 continuous items, local dependence, and 10 percent missigness at random;
factorial correlation Φ=.3.
Usage
sim18mcfa41
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
LDLocal dependence between items (LD effect = .3)
LAWBL documentation built on May 16, 2022, 9:06 a.m.
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| sim18mcfa41 | R Documentation |
Simulated MCFA data with LD and Missingness
Description
CFA data mixed with continuous and categorical responses simulated based on 3 factors, 6 4-category items, 12 continuous items, local dependence, and 10 percent missigness at random; factorial correlation Φ=.3.
Usage
sim18mcfa41
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
LDLocal dependence between items (LD effect = .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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