Title : Description of the required functions for fitting "Longitudinal dynamic functional regression" (LDFR)

1. data generator.R : mufun() : defines true mean function

phi_fun() : defines true eigen functions

onesubj() : generates data for single subject

sparsefun() : creates sparse data set

data_func() : generates data for all subjects

2. data fit.R
   Yestim() : fits the model for training data and test data

3. LDFR.R : LDFR() : applies LDFR model and predicting the full trajectory