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GeDS

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).

Installation:

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")

License:

This package is free and open source software, licensed under GPL-3

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Install

install.packages('GeDS')

Monthly Downloads

885

Version

0.2.6

License

GPL-3

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Repository

https://github.com/emilioluissaenzguillen/GeDS

Maintainer

Emilio Guillen

Last Published

February 10th, 2025

Functions in GeDS (0.2.6)

NGeDSgam: Local Scoring Algorithm with GeD Splines in Backfitting

Coal Mining Disasters data

Defined integral of GeDS objects

Piecewise Polynomial Spline Representation

IRLS Estimation

Estimation of the coefficients of a predictor model with spline and possibly parametric components.

bl_imp.GeDSboost

Base Learner Importance for GeDSboost objects

Geometrically Designed Spline regression estimation

Component-wise gradient boosting with NGeDS base-learners

UnivariateFitters

Functions used to fit GeDS objects with an univariate spline regression component

Defining the covariates for the spline component in a GeDS formula.

k-fold cross-validation

coef.GeDSboost,gam

Coef method for GeDSboost, GeDSgam

Knots method for GeDS, GeDSboost, GeDSgam

lines,GeDS-method

Lines method for GeDS objects.

Deviance method for GeDS, GeDSboost, GeDSgam

plot,GeDS-method

Plot method for GeDS objects.

visualize_boosting

Visualize Boosting Iterations

Coef method for GeDS objects

predict.GeDSboost,gam

Predict method for GeDSboost, GeDSgam

Print method for GeDS, GeDSboost, GeDSgam

plot,GeDSboost-method

Plot method for GeDSboost objects.

plot,GeDSgam-method

Plot method for GeDSgam objects.

Predict method for GeDS objects

Formula for the predictor model

BivariateFitters

Fitter function for GeD Spline Regression for bivariate data

GeDSboost-class

GeDSboost Class

Derivative of GeDS objects

Generalized Geometrically Designed Spline regression estimation

Crystallographic Scattering Data

Barium-Ferrum-Arsenide Powder Diffraction Data

Death counts in England and Wales