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. (2023).
To install the stable version on R CRAN:
install.packages("GeDS")To install the latest development version:
install.packages("devtools")
devtools::install_github("emilioluissaenzguillen/GeDS")This package is free and open source software, licensed under GPL-3