Adaptive Lasso (for SEM) Simulation for Sample Size

I am new to adaptive Lasso regressions, and I'm attempting to setup a model to use the technique in an SEM application. This will involve data collection, and therefore, I need a minimum sample size. Can anyone point me in the direction of some R code that can get me started on a simulation to determine my optimal sample size?

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