GeDS: Geometrically Designed Spline Regression

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) <>.

Package details

AuthorDimitrina S. Dimitrova <[email protected]>, Vladimir K. Kaishev <[email protected]>, Andrea Lattuada <[email protected]> and Richard J. Verrall <[email protected]>
MaintainerAndrea Lattuada <[email protected]>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the GeDS package in your browser

Any scripts or data that you put into this service are public.

GeDS documentation built on May 2, 2019, 12:36 p.m.