alattuada/GeDS: Geometrically Designed Spline Regression
Version 0.1.3

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) and Dimitrova et al. (2017) .

Getting started

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]att.it>
LicenseGPL-3
Version0.1.3
URL http://github.com/alattuada/GeDS
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("alattuada/GeDS")
alattuada/GeDS documentation built on Dec. 19, 2017, 11:46 a.m.