Package: nprotreg
Title: Nonparametric Rotations for Sphere-Sphere Regression
Version: 1.0.0
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
LazyData: true
RoxygenNote: 5.0.1
Suggests: testthat
Imports: methods, expm, stats
NeedsCompilation: no
Packaged: 2018-10-05 11:52:07 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: 2018-10-14 17:20:06 UTC
