Geometrically Designed Spline ('GeDS') Regression is a nonparametric 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)
Package details 


Author  Dimitrina S. Dimitrova <[email protected]>, Vladimir K. Kaishev <[email protected]>, Andrea Lattuada <[email protected]> and Richard J. Verrall <[email protected]> 
Maintainer  Andrea Lattuada <[email protected]> 
License  GPL3 
Version  0.1.3 
URL  http://github.com/alattuada/GeDS 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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