Package: nprotreg
Title: Nonparametric Rotations for Sphere-Sphere Regression
Version: 1.1.1
Authors@R: c(
    person(c("Charles","C."), "Taylor", email = "charles@maths.leeds.ac.uk", 
    role = c("aut")),
    person("Giovanni", "Lafratta", email = "giovanni.lafratta@unich.it", 
    role = c("aut", "cre")),
    person("Stefania", "Fensore", email = "stefania.fensore@unich.it", 
    role = c("aut")))
Description: Fits sphere-sphere regression models by estimating locally weighted
    rotations. Simulation of sphere-sphere data according to non-rigid rotation
    models. Provides methods for bias reduction applying iterative procedures
    within a Newton-Raphson learning scheme. Cross-validation is exploited to select
    smoothing parameters. See Marco Di Marzio, Agnese Panzera & Charles C. Taylor
    (2018) <doi:10.1080/01621459.2017.1421542>.
Depends: R (>= 3.3.0)
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.2.3
Suggests: testthat
Imports: foreach, methods, stats
NeedsCompilation: no
Packaged: 2023-09-28 08:19:05 UTC; giova
Author: Charles C. Taylor [aut],
  Giovanni Lafratta [aut, cre],
  Stefania Fensore [aut]
Maintainer: Giovanni Lafratta <giovanni.lafratta@unich.it>
Repository: CRAN
Date/Publication: 2023-09-28 08:40:02 UTC
Built: R 4.6.0; ; 2026-04-27 11:21:47 UTC; unix
