Other packages > Find by keyword >

plgp  

Particle Learning of Gaussian Processes
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("plgp", "1.1-13")



Attach the package and use:
library("plgp")
Maintained by
Robert B. Gramacy
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2010-05-01
Latest Update: 2022-10-19
Description:
Sequential Monte Carlo (SMC) inference for fully Bayesian Gaussian process (GP) regression and classification models by particle learning (PL) following Gramacy & Polson (2011) . The sequential nature of inference and the active learning (AL) hooks provided facilitate thrifty sequential design (by entropy) and optimization (by improvement) for classification and regression models, respectively. This package essentially provides a generic PL interface, and functions (arguments to the interface) which implement the GP models and AL heuristics. Functions for a special, linked, regression/classification GP model and an integrated expected conditional improvement (IECI) statistic provide for optimization in the presence of unknown constraints. Separable and isotropic Gaussian, and single-index correlation functions are supported. See the examples section of ?plgp and demo(package="plgp") for an index of demos.
How to cite:
Robert B. Gramacy (2010). plgp: Particle Learning of Gaussian Processes. R package version 1.1-13, https://cran.r-project.org/web/packages/plgp. Accessed 08 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:41), 1.0 (2010-05-01 18:00), 1.1-1 (2011-04-08 15:50), 1.1-2 (2011-08-23 22:03), 1.1-3 (2011-09-03 08:24), 1.1-4 (2012-01-21 08:56), 1.1-5 (2012-07-24 17:12), 1.1-7 (2014-12-02 00:14), 1.1-8 (2022-03-31 01:40), 1.1-9 (2022-04-06 22:30), 1.1-10 (2022-04-18 16:00), 1.1-11 (2022-06-10 09:50), 1.1-12 (2022-10-19 16:32), 1.1 (2010-09-21 10:45)
Other packages that cited plgp R package
View plgp citation profile
Other R packages that plgp depends, imports, suggests or enhances
Complete documentation for plgp
Functions, R codes and Examples using the plgp R package
Some associated functions: PL . addpall.GP . data.GP . draw.GP . exp2d.C . init.GP . lpredprob.GP . papply . params.GP . plgp-internal . plgp-package . pred.GP . prior.GP . propagate.GP . rectscale . 
Some associated R codes: covar.R . entropy.R . exp2d_class.R . ieci.R . pl.R . plcgp.R . plconstgp.R . plgp.R .  Full plgp package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

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  
shinymodels  
Interactive Assessments of Models
Launch a 'shiny' application for 'tidymodels' results. For classification or regression models, the ...
Download / Learn more Package Citations See dependency  
eDMA  
Dynamic Model Averaging with Grid Search
Perform dynamic model averaging with grid search as in Dangl and Halling (2012) ...
Download / Learn more Package Citations See dependency  
kriens  
Continuation Passing Style Development
Provides basic functions for Continuation-Passing Style development. ...
Download / Learn more Package Citations See dependency  
imguR  
An Imgur.com API Client Package
A complete API client for the image hosting service Imgur.com, including the an imgur graphics devic ...
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