Other packages > Find by keyword >

BayesNSGP  

Bayesian Analysis of Non-Stationary Gaussian Process Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BayesNSGP", "0.1.2")



Attach the package and use:
library("BayesNSGP")
Maintained by
Daniel Turek
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-29
Latest Update: 2022-01-09
Description:
Enables off-the-shelf functionality for fully Bayesian, nonstationary Gaussian process modeling. The approach to nonstationary modeling involves a closed-form, convolution-based covariance function with spatially-varying parameters; these parameter processes can be specified either deterministically (using covariates or basis functions) or stochastically (using approximate Gaussian processes). Stationary Gaussian processes are a special case of our methodology, and we furthermore implement approximate Gaussian process inference to account for very large spatial data sets (Finley, et al (2017) ). Bayesian inference is carried out using Markov chain Monte Carlo methods via the 'nimble' package, and posterior prediction for the Gaussian process at unobserved locations is provided as a post-processing step.
How to cite:
Daniel Turek (2019). BayesNSGP: Bayesian Analysis of Non-Stationary Gaussian Process Models. R package version 0.1.2, https://cran.r-project.org/web/packages/BayesNSGP. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2019-08-29 14:50), 0.1.1 (2019-10-12 11:50)
Other packages that cited BayesNSGP R package
View BayesNSGP citation profile
Other R packages that BayesNSGP depends, imports, suggests or enhances
Complete documentation for BayesNSGP
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

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