sim18ccfa41: Simulated CCFA data with LD and missingness
In Jinsong-Chen/LAWBL: Latent (Variable) Analysis with Bayesian Learning
sim18ccfa41 R Documentation
Simulated CCFA data with LD and missingness
Description
Categorical CFA data simulated based on 18 items, 3 factors, and 4 categories
with local dependence and 10 percent missingness at random; factorial correlation Φ=.3.
Usage
sim18ccfa41
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)
Jinsong-Chen/LAWBL documentation built on Aug. 31, 2022, 10:01 a.m.
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.
| sim18ccfa41 | R Documentation |
Simulated CCFA data with LD and missingness
Description
Categorical CFA data simulated based on 18 items, 3 factors, and 4 categories with local dependence and 10 percent missingness at random; factorial correlation Φ=.3.
Usage
sim18ccfa41
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.