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 04 Jun. 2026.
Previous versions and publish date:
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

AMPLE  
Shiny Apps to Support Capacity Building on Harvest Control Rules
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management. ...
Download / Learn more Package Citations See dependency  
crplyr  
A 'dplyr' Interface for Crunch
In order to facilitate analysis of datasets hosted on the Crunch data platform ...
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  
murphydiagram  
Murphy Diagrams for Forecast Comparisons
Data and code for the paper by Ehm, Gneiting, Jordan and Krueger ('Of Quantiles and Expectiles: Con ...
Download / Learn more Package Citations See dependency  
golem  
A Framework for Robust Shiny Applications
An opinionated framework for building a production-ready 'Shiny' application. This package contains ...
Download / Learn more Package Citations See dependency  
phers  
Calculate Phenotype Risk Scores
Use phenotype risk scores based on linked clinical and genetic data to study Mendelian disease and ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

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