Package: GeDS
Type: Package
Title: Geometrically Designed Spline Regression
Version: 0.1.2
Date: 2017-11-08
Author: Dimitrina S. Dimitrova <D.Dimitrova@city.ac.uk>,
  Vladimir K. Kaishev <V.Kaishev@city.ac.uk>,
  Andrea Lattuada <Andrea.Lattuada@unicatt.it> and
  Richard J. Verrall <R.J.Verrall@city.ac.uk>
Maintainer: Andrea Lattuada <Andrea.Lattuada@unicatt.it>
Description: Geometrically Designed Spline ('GeDS') Regression is a non-parametric geometrically 
  motivated method for fitting variable knots spline predictor models in one or two independent 
  variables, in the context of generalized (non-)linear models. 'GeDS' estimates the number and 
  position of the knots and the order of the spline, assuming the response variable has a 
  distribution from the exponential family. A description of the method can be found in
  Kaishev et al. (2016) <doi:10.1007/s00180-015-0621-7> and Dimitrova et al. (2017) <https://openaccess.city.ac.uk/18460>.
License: GPL-3
LazyData: TRUE
Depends: R (>= 3.0.1), Rcpp (>= 0.12.1), splines, stats, utils, Matrix,
        methods, Rmpfr
LinkingTo: Rcpp
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2017-11-08 08:18:41 UTC; Andrea Lattuada
Repository: CRAN
Date/Publication: 2017-11-08 19:24:24 UTC
