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 06 Aug. 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

SAMBA  
Selection and Misclassification Bias Adjustment for Logistic Regression Models
Health research using data from electronic health records (EHR) has gained popularity, but miscla ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
TMDb  
Access to TMDb API
Provides an R-interface to the TMDb API (see TMDb API on < ...
Download / Learn more Package Citations See dependency  
RRedshiftSQL  
R Interface to the 'Redshift' Database
Superclasses 'PostgreSQL' connection to help enable full 'dplyr' functionality on 'Redshift'. ...
Download / Learn more Package Citations See dependency  
lsmeans  
Least-Squares Means
Obtain least-squares means for linear, generalized linear, and mixed models. Compute contrasts or l ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

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