R/goffda-package.R

#' @title \pkg{goffda} -- Goodness-of-Fit Tests for Functional Data
#'
#' @description Implementation of several goodness-of-fit tests for functional
#' data. Currently, mostly related with the functional linear model with
#' functional/scalar response and functional/scalar predictor. The package
#' allows for the replication of the data applications considered in
#' García-Portugués, Álvarez-Liébana, Álvarez-Pérez and González-Manteiga
#' (2021) <doi:10.1111/sjos.12486>.
#'
#' @author Eduardo García-Portugués and Javier Álvarez-Liébana.
#' @references
#' García-Portugués, E., Álvarez-Liébana, J., Álvarez-Pérez, G. and
#' Gonzalez-Manteiga, W. (2021). A goodness-of-fit test for the functional
#' linear model with functional response. \emph{Scandinavian Journal of
#' Statistics}, 48(2):502--528. \doi{10.1111/sjos.12486}
#'
#' García-Portugués, E., González-Manteiga, W. and Febrero-Bande, M. (2014). A
#' goodness-of-fit test for the functional linear model with scalar response.
#' \emph{Journal of Computational and Graphical Statistics}, 23(3):761--778.
#' \doi{10.1080/10618600.2013.812519}
#' @docType package
#' @name goffda-package
#' @import graphics stats Rcpp
#' @importFrom fda.usc plot.fdata
#' @importFrom utils setTxtProgressBar txtProgressBar
#' @importFrom grDevices gray
#' @useDynLib goffda
#' @aliases goffda goffda-package
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goffda documentation built on Oct. 14, 2023, 5:08 p.m.