Description
- Implement the regularization approach for the scalar-response functional linear regression model.
- Apply the code to analyze the medfly dataset fdapace::medfly25. Find and interpret the association between the number of total remaining eggs as response and the egg-laying trajectories as the predictor function. Set the tuning parameter λ
- Compare your results with those given by an FPC regression approach (code available in the Notebook §4.4).
- Use the functional concurrent regression model to analyze the US GDP data posted with this homework. An R implementation fdapace::FCReg is available. Explore different tuning parameter settings and interpret the results.
- Implement the FPC regression approach for a functional-response functional linear regression model and apply it to analyze the US GDP data. Compare the results and interpretation with those in the previous question.
