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GeDS
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", "0.3.1")
Attach the package and use:
library("GeDS")
Maintained by
Emilio S. Guillen
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.GeDS . https://github.com/emilioluissaenzguillen/GeDS/issues . https://github.com/emilioluissaenzguillen/GeDS . GeDS citation info . GeDS results . GeDS.pdf . GeDS_0.3.1.tar.gz . GeDS_0.3.1.zip . GeDS_0.3.1.zip . GeDS_0.3.1.zip . GeDS_0.3.1.tgz . GeDS_0.3.1.tgz . GeDS_0.3.1.tgz . GeDS_0.3.1.tgz . GeDS archive . https://CRAN.R-project.org/package=GeDS .
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 0.3.1, https://cran.r-project.org/web/packages/GeDS. Accessed 29 Apr. 2025.
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), 0.2.2 (2024-04-24 19:20), 0.2.3 (2024-07-19 16:30), 0.2.4 (2024-09-12 16:10), 0.2.5 (2025-01-21 17:30), 0.2.6 (2025-02-10 13:30), 0.2.7 (2025-03-11 15:30), 0.2.8 (2025-03-14 11:10), 0.2.9 (2025-03-28 12:40), 0.3.0 (2025-04-16 12:40)
Other packages that cited GeDS R package
View GeDS citation profile
Other R packages that GeDS depends,
imports, suggests or enhances
Complete documentation for GeDS
Functions, R codes and Examples using
the GeDS R package
Some associated functions: BaFe2As2 . Derive . EWmortality . Fitters . GGeDS . GeDS-class . GeDS-package . IRLSfit . Integrate . NGeDS . PPolyRep . SplineReg . coalMining . coef . deviance.GeDS . f . formula.GeDS . knots . lines-GeDS-method . plot-GeDS-method . predict.GeDS . print.GeDS .
Some associated R codes: BivariateFitter.R . GEDSClass.R . GGeDS.R . GeDS-package.R . IRLSfit.R . IntegrateDerive.R . NGeDS.R . RcppExports.R . S3methods.R . SplineReg.R . SplineReg_biv.R . SplineReg_fast_biv.R . SplineReg_fast_weighted_zed.R . UnivariateFitter.R . dynlib.R . lines_GeDSMethod.R . lm.wfit.light.R . makeNewMatr.R . makeNewRes.R . plot_GeDSMethod.R . pprep.R . read.formula.R . unexported.R . Full GeDS package functions and examples
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