Other packages > Find by keyword >

GeDS  

Geometrically Designed Spline Regression
View on CRAN: Click here


Download and install GeDS package within the R console
Install from CRAN:
install.packages("GeDS")

Install from Github:
library("remotes")
install_github("cran/GeDS")

Install by package version:
library("remotes")
install_version("GeDS", "0.2.1")



Attach the package and use:
library("GeDS")
Maintained by
Emilio S. Guillen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-08
Latest Update: 2017-12-19
Description:
Spline Regression, Generalized Additive Models, and Component-wise Gradient Boosting, utilizing Geometrically Designed (GeD) Splines. GeDS regression is a non-parametric method inspired by geometric principles, for fitting spline regression models with variable knots in one or two independent variables. It efficiently estimates the number of knots and their positions, as well as the spline order, assuming the response variable follows a distribution from the exponential family. GeDS models integrate the broader category of Generalized (Non-)Linear Models, offering a flexible approach to modeling complex relationships. A description of the method can be found in Kaishev et al. (2016) and Dimitrova et al. (2023) . Further extending its capabilities, GeDS's implementation includes Generalized Additive Models (GAM) and Functional Gradient Boosting (FGB), enabling versatile multivariate predictor modeling, as discussed in the forthcoming work of Dimitrova et al. (2024).
How to cite:
Emilio S. Guillen (2017). GeDS: Geometrically Designed Spline Regression. R package version 0.2.1, https://cran.r-project.org/web/packages/GeDS
Previous versions and publish date:
0.1.2 (2017-11-08 20:24), 0.1.3 (2017-12-19 12:12), 0.1.4 (2023-12-06 11:00), 0.2.0 (2024-03-24 16:50), 0.2.1 (2024-04-12 00:00)
Other packages that cited GeDS R package
View GeDS citation profile
Other R packages that GeDS depends, imports, suggests or enhances
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

mistral  
Methods in Structural Reliability
Various reliability analysis methods for rare event inference (computing failure probability and qua ...
Download / Learn more Package Citations See dependency  
ftaproxim  
Fault Tree Analysis Based on Proxel Simulation
Calculation and plotting of instantaneous unavailabilities of basic events along with the top event ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
steepness  
Testing Steepness of Dominance Hierarchies
The steepness package computes steepness as a property of dominance hierarchies. Steepness is define ...
Download / Learn more Package Citations See dependency  
rdbnomics  
Download DBnomics Data
R access to hundreds of millions data series from DBnomics API (). ...
Download / Learn more Package Citations See dependency  
critpath  
Setting the Critical Path in Project Management
Solving the problem of project management using CPM (Critical Path Method), PERT (Program Evaluation ...
Download / Learn more Package Citations See dependency  

22,114

R Packages

188,080

Dependencies

55,244

Author Associations

22,115

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net. Contact Us / Suggestions / Concerns