Predicts the response Y for Scalar Functional Data using the analytic L2 inner product. This implementation follows the theory from Chapter 7.
Usage
smoothPLS_SFD_predict(
df_predict,
delta_spls,
basis_obj = NULL,
id_col = "id",
time_col = "time",
parallel = TRUE,
...
)Arguments
- df_predict
Dataframe with columns (id, time, value).
- delta_spls
List containing (intercept, delta_fd_object).
- basis_obj
Optional basis for signal reconstruction. If NULL, uses the basis from delta_fd
- id_col
Character, name of id column.
- time_col
Character, name of time column.
- parallel
a boolean to enable parallel processing, default TRUE.
- ...
Additional arguments for Data2fd or inprod.