Package: GeDS
Type: Package
Title: Geometrically Designed Spline Regression
Version: 0.1.4
Date: 2023-11-30
Author: Dimitrina S. Dimitrova <D.Dimitrova@city.ac.uk>,
  Emilio S. Guillen <emilio.saenz-guillen@bayes.city.ac.uk>,
  Vladimir K. Kaishev <V.Kaishev@city.ac.uk>,
  Andrea Lattuada <andrea.lattuada@hotmail.com> and
  Richard J. Verrall <R.J.Verrall@city.ac.uk>
Maintainer: Emilio S. Guillen <emilio.saenz-guillen@bayes.city.ac.uk>
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/id/eprint/18460/>.
License: GPL-3
URL: https://github.com/emilioluissaenzguillen/GeDS
BugReports: https://github.com/emilioluissaenzguillen/GeDS/issues
LazyData: TRUE
Depends: R (>= 3.0.1), Rcpp (>= 0.12.1), splines, stats, utils, Matrix,
        methods, Rmpfr
LinkingTo: Rcpp
RoxygenNote: 7.2.3
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2023-12-04 10:43:47 UTC; ESaenz
Repository: CRAN
Date/Publication: 2023-12-06 10:00:17 UTC
