Model-COVID-19-Cases-Using-Splines

In this Project, we fit various splines to model the COVID-19 daily positive case numbers in Florida from 3/3/20 – 3/7/21.

Data

• COVID-19 daily positive case numbers in Florida from 3/3/20 – 3/7/21.
• We will fit various splines to these data.

Algorithm implementation.

• Construct basis sets for an order M = 2 and M = 4 spline.
• Using both bases, we fit a spline with lasso using glmnet.
• The tuning parameters are selected using cv.glmnet (standardize=FALSE).
• We Plot these two estimated functions (based on the two splines) over the data.
• Fit a local polynomial\kernel smoother to best estimate the true data generating function(f).
• Verify the fit. Evaluate squared prediction error.