How does JMP handle Irregular Data in Functional Data Explorer?
I have irregular functional data (16 functions each measured at different points of time). I was able to upload the data directly to JMP and without any data preprocessing, JMP chooses the perfect penalized P-spline model and outputs the lambda and the function output's standard deviation in the fit statistics. My question is, how did JMP get the function output's standard deviation? and how did ...