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#' @title Adaptive smoothing spline estimator for the function-on-function linear regression model
#' @details
#'
#'\tabular{ll}{
#'Package: \tab adass\cr
#'Type: \tab Package\cr
#'Version: \tab `r packageVersion("adass")` \cr
#'Date: \tab `r Sys.Date()` \cr
#'License: \tab `r packageDescription("adass", fields="License")`\cr
#'}
#'
#' @author Fabio Centofanti, Antonio Lepore, Alessandra Menafoglio, Biagio Palumbo, Simone Vantini
#' @references
#' Centofanti, F., Lepore, A., Menafoglio, A., Palumbo, B., Vantini, S. (2023).
#' Adaptive Smoothing Spline Estimator for the Function-on-Function Linear Regression Model.
#' \emph{Computational Statistics 38(1), 191–216}.
#' @seealso \code{\link{adass.fr}}, \code{\link{adass.fr_eaass}}
#' @examples
#' \donttest{
#' library(adass)
#' data<-simulate_data("Scenario HAT",n_obs=100)
#' X_fd=data$X_fd
#' Y_fd=data$Y_fd
#' basis_s <- fda::create.bspline.basis(c(0,1),nbasis = 10,norder = 4)
#' basis_t <- fda::create.bspline.basis(c(0,1),nbasis = 10,norder = 4)
#' mod_smooth <-adass.fr(Y_fd,X_fd,basis_s = basis_s,basis_t = basis_t,tun_par=c(10^-6,10^-6,0,0,0,0))
#' grid_s<-seq(0,1,length.out = 10)
#' grid_t<-seq(0,1,length.out = 10)
#' beta_der_eval_s<-fda::eval.bifd(grid_s,grid_t,mod_smooth$Beta_hat_fd,sLfdobj = 2)
#' beta_der_eval_t<-fda::eval.bifd(grid_s,grid_t,mod_smooth$Beta_hat_fd,tLfdobj = 2)
#' mod_adsm<-adass.fr_eaass(Y_fd,X_fd,basis_s,basis_t,
#' beta_ders=beta_der_eval_s, beta_dert=beta_der_eval_t,
#' rand_search_par=list(c(-8,4),c(-8,4),c(0,0.1),c(0,4),c(0,0.1),c(0,4)),
#' grid_eval_ders=grid_s, grid_eval_dert=grid_t,
#' popul_size = 2,ncores=1,iter_num=1)
#'
#' mod_opt <-adass.fr(Y_fd, X_fd, basis_s = basis_s, basis_t = basis_t,
#' tun_par=mod_adsm$tun_par_opt,beta_ders = beta_der_eval_s,
#' beta_dert = beta_der_eval_t,grid_eval_ders=grid_s,grid_eval_dert=grid_t )
#' plot(mod_opt)
#' }
"_PACKAGE"
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