Other packages > Find by keyword >

funGp  

Gaussian Process Models for Scalar and Functional Inputs
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("funGp", "1.0.0")



Attach the package and use:
library("funGp")
Maintained by
Jose Betancourt
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-04-22
Latest Update: 2024-05-10
Description:
Construction and smart selection of Gaussian process models for analysis of computer experiments with emphasis on treatment of functional inputs that are regularly sampled. This package offers: (i) flexible modeling of functional-input regression problems through the fairly general Gaussian process model; (ii) built-in dimension reduction for functional inputs; (iii) heuristic optimization of the structural parameters of the model (e.g., active inputs, kernel function, type of distance). Metamodeling background is provided in Betancourt et al. (2020) . The algorithm for structural parameter optimization is described in .
How to cite:
Jose Betancourt (2020). funGp: Gaussian Process Models for Scalar and Functional Inputs. R package version 1.0.0, https://cran.r-project.org/web/packages/funGp. Accessed 09 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:40), 0.1.0 (2020-04-22 19:24), 0.2.0 (2020-11-17 10:10), 0.2.1 (2020-11-24 06:30), 0.2.2 (2021-07-22 10:40), 0.3.0 (2022-05-30 13:20), 0.3.1 (2023-01-22 01:40), 0.3.2 (2023-04-25 09:40)
Other packages that cited funGp R package
View funGp citation profile
Other R packages that funGp depends, imports, suggests or enhances
Complete documentation for funGp
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

binovisualfields  
Depth-Dependent Binocular Visual Fields Simulation
Simulation and visualization depth-dependent integrated visual fields. Visual fields are measured mo ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
TRMF  
Temporally Regularized Matrix Factorization
Functions to estimate temporally regularized matrix factorizations (TRMF) for forecasting and imputi ...
Download / Learn more Package Citations See dependency  
githubinstall  
A Helpful Way to Install R Packages Hosted on GitHub
Provides an helpful way to install packages hosted on GitHub. ...
Download / Learn more Package Citations See dependency  
separationplot  
Separation Plots
Visual representations of model fit or predictive success in the form of "separation plots." See Gr ...
Download / Learn more Package Citations See dependency  
baffle  
Make Waffle Plots with Base Graphics
Waffle plots are rectangular pie charts that represent a quantity or abundances using colored squar ...
Download / Learn more Package Citations See dependency  

28,989

R Packages

247,686

Dependencies

76,495

Author Associations

28,990

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA