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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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Version

Install

install.packages('GeDS')

Monthly Downloads

885

Version

0.2.8

License

GPL-3

Issues

1

Pull Requests

0

Stars

1

Forks

0

Maintainer

Emilio Guillen

Last Published

March 14th, 2025

Functions in GeDS (0.2.8)

GeDSgam-class

GeDSgam Class
Derive

Derivative of GeDS objects
CrystalData

Crystallographic Scattering Data
GeDSboost-class

GeDSboost Class
PPolyInv

Inversion the piecewise polynomial representation of a spline object
NGeDSboost

Component-wise gradient boosting with NGeDS base-learners
PPolyRep

Piecewise Polynomial Spline Representation
UnivariateFitters

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

IRLS Estimation
Integrate

Defined integral of GeDS objects
SplineReg

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

NGeDSgam: Local Scoring Algorithm with GeD Splines in Backfitting
NGeDS

Geometrically Designed Spline regression estimation
bl_imp.GeDSboost

Base Learner Importance for GeDSboost objects
deviance.GeDS

Deviance method for GeDS, GeDSboost, GeDSgam
coef.GeDS

Coef method for GeDS objects
crossv_GeDS

k-fold cross-validation
coef.GeDSboost,gam

Coef method for GeDSboost, GeDSgam
coalMining

Coal Mining Disasters data
formula.GeDS

Formula for the predictor model
lines,GeDS-method

Lines method for GeDS objects.
knots.GeDS

Knots method for GeDS, GeDSboost, GeDSgam
f

Defining the covariates for the spline component in a GeDS formula.
plot,GeDS-method

Plot method for GeDS objects.
predict.GeDS

Predict method for GeDS objects
predict.GeDSboost,gam

Predict method for GeDSboost, GeDSgam
plot,GeDSboost-method

Plot method for GeDSboost objects.
print.GeDS

Print method for GeDS, GeDSboost, GeDSgam
plot,GeDSgam-method

Plot method for GeDSgam objects.
visualize_boosting

Visualize Boosting Iterations
EWmortality

Death counts in England and Wales
GeDS-class

GeDS Class
GGeDS

Generalized Geometrically Designed Spline regression estimation
BaFe2As2

Barium-Ferrum-Arsenide Powder Diffraction Data
BivariateFitters

Fitter function for GeD Spline Regression for bivariate data
GeDS-package

GeDS