simARCL_scaled_50: simARCL_scaled_50
In jhorzek/OrzekMasterThesis: OrzekMasterThesis can be used to replicate the findings reportet in the master thesis "LASSO Regularization in Dynamic Panel Models"
View source: R/simARCL_scaled_50.R
Description
simARCL_scaled_50 creates an ARCL(1)-SEM model with OpenMx with 5 latent variables and 1 manifest per latent and time point for data simulation. It returns the simulated data set and a covariance based and a raw data based model. 10 Timepoints are created of which the initial five are omitted (burned)
The model has 50
Usage
1
simARCL_scaled_50(sampleSize, autoEffect, crossEffect)
Author(s)
Jannik Orzek
jhorzek/OrzekMasterThesis documentation built on Aug. 7, 2019, 8:20 a.m.
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View source: R/simARCL_scaled_50.R
Description
simARCL_scaled_50 creates an ARCL(1)-SEM model with OpenMx with 5 latent variables and 1 manifest per latent and time point for data simulation. It returns the simulated data set and a covariance based and a raw data based model. 10 Timepoints are created of which the initial five are omitted (burned) The model has 50
Usage
1 | simARCL_scaled_50(sampleSize, autoEffect, crossEffect)
|
Author(s)
Jannik Orzek
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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