Package: fdadensity URL: https://github.com/functionaldata/tDENS BugReports: https://github.com/functionaldata/tDENS/issues Type: Package Title: Functional Data Analysis for Density Functions by Transformation to a Hilbert Space Version: 0.1.4 Date: 2025-03-28 Authors@R: c(person(given = "A.", family = "Petersen", role = "aut"), person(given = c("P.", "Z."), family = "Hadjipantelis", role = "aut"), person(given = "H.G.", family = "Mueller", role = "aut"), person(given = "Alexander", family = "Petersen", role = "cre", email = "petersen@stat.byu.edu")) Maintainer: Alexander Petersen Description: An implementation of the methodology described in Petersen and Mueller (2016) for the functional data analysis of samples of density functions. Densities are first transformed to their corresponding log quantile densities, followed by ordinary Functional Principal Components Analysis (FPCA). Transformation modes of variation yield improved interpretation of the variability in the data as compared to FPCA on the densities themselves. The standard fraction of variance explained (FVE) criterion commonly used for functional data is adapted to the transformation setting, also allowing for an alternative quantification of variability for density data through the Wasserstein metric of optimal transport. Depends: R (>= 3.3.0) License: BSD_3_clause + file LICENSE LazyData: false Imports: Rcpp (>= 0.11.5), fdapace (>= 0.3.0) LinkingTo: Rcpp NeedsCompilation: yes Suggests: testthat RoxygenNote: 7.3.2 Encoding: UTF-8 Config/pak/sysreqs: cmake make libicu-dev libuv1-dev Repository: https://functionaldata.r-universe.dev Date/Publication: 2025-04-14 23:10:30 UTC RemoteUrl: https://github.com/functionaldata/tdens RemoteRef: HEAD RemoteSha: 0492054c50ef818f870bd4b7aee42031338bce32 Packaged: 2026-06-24 09:46:07 UTC; root Author: A. Petersen [aut], P. Z. Hadjipantelis [aut], H.G. Mueller [aut], Alexander Petersen [cre]