Get a list of function-on-function linear regression models estimated on functional data each evolving up to an intermediate domain point.
This function produces a list of objects,
each of them contains the result of applying fof_pc to
a functional response variable and multivariate functional covariates
evolved up to an intermediate domain point.
fof_pc_real_time( mfdobj_y_list, mfdobj_x_list, tot_variance_explained_x = 0.95, tot_variance_explained_y = 0.95, tot_variance_explained_res = 0.95, components_x = NULL, components_y = NULL, type_residuals = "standard", ncores = 1 )
mfdobj_y_list |
A list created using
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mfdobj_x_list |
A list created using
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tot_variance_explained_x |
See |
tot_variance_explained_y |
See |
tot_variance_explained_res |
See |
components_x |
See |
components_y |
See |
type_residuals |
See |
ncores |
If you want parallelization, give the number of cores/threads to be used when creating objects separately for different instants. |
A list of lists each produced by fof_pc,
corresponding to a given instant.
library(funcharts)
data("air")
air <- lapply(air, function(x) x[1:10, , drop = FALSE])
mfdobj_y_list <- get_mfd_list_real_time(air["NO2"],
n_basis = 15,
lambda = 1e-2,
k_seq = c(0.5, 0.75, 1))
mfdobj_x_list <- get_mfd_list_real_time(air[c("CO", "temperature")],
n_basis = 15,
lambda = 1e-2,
k_seq = c(0.5, 0.75, 1))
mod_list <- fof_pc_real_time(mfdobj_y_list, mfdobj_x_list)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.