Adaptive Lasso Statistical Analysis in R

I'm on the hunt for a skilled statistician, well-versed in handling R programming. Specifically, I'm looking at an in-depth analysis with the adaptive Lasso method, using Ridge as a weight. And elastic net method.

Your deliverables should include:

- Coefficients
- Selected lambda
- MSE
- R codes
- Graphs

You have the discretion to employ specific data or utilize simulated data to execute this analysis - I don't have a particular preference here. However, please bear in mind that the chosen data type should be relevant to the project execution.

Ideal Skills and Experience:
- Proficiency in R programming
- Strong statistical background
- Prior experience handling adaptive Lasso method
- Ability to clearly explain and present complex statistical results.

I look forward to seeing your analytical approach to this interesting challenge!