Other packages > Find by keyword >

spBPS  

Bayesian Predictive Stacking for Scalable Geospatial Transfer Learning
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("spBPS", "0.0-4")



Attach the package and use:
library("spBPS")
Maintained by
Luca Presicce
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-10-25
Latest Update: 2024-10-25
Description:
Provides functions for Bayesian Predictive Stacking within the Bayesian transfer learning framework for geospatial artificial systems, as introduced in "Bayesian Transfer Learning for Artificially Intelligent Geospatial Systems: A Predictive Stacking Approach" (Presicce and Banerjee, 2024) <doi:10.48550/arXiv.2410.09504>. This methodology enables efficient Bayesian geostatistical modeling, utilizing predictive stacking to improve inference across spatial datasets. The core functions leverage 'C++' for high-performance computation, making the framework well-suited for large-scale spatial data analysis in parallel and distributed computing environments. Designed for scalability, it allows seamless application in computationally demanding scenarios.
How to cite:
Luca Presicce (2024). spBPS: Bayesian Predictive Stacking for Scalable Geospatial Transfer Learning. R package version 0.0-4, https://cran.r-project.org/web/packages/spBPS. Accessed 05 Jun. 2026.
Previous versions and publish date:
0.0-4 (2024-10-25 11:20), 1.0-1 (2026-03-19 16:30)
Other packages that cited spBPS R package
View spBPS citation profile
Other R packages that spBPS depends, imports, suggests or enhances
Complete documentation for spBPS
Functions, R codes and Examples using the spBPS R package
Full spBPS package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

crossurr  
Cross-Fitting for Doubly Robust Evaluation of High-Dimensional Surrogate Markers
Doubly robust methods for evaluating surrogate markers as outlined in: Agniel D, Hejblum BP, Thiebau ...
Download / Learn more Package Citations See dependency  
envirem  
Generation of ENVIREM Variables
Generation of bioclimatic rasters that are complementary to the typical 19 bioclim variables. ...
Download / Learn more Package Citations See dependency  
ibb  
R Wrapper for Istanbul Municipality Open Data Portal
Call wrappers for Istanbul Metropolitan Municipality's Open Data Portal (Turkish: Istanbul B ...
Download / Learn more Package Citations See dependency  
msm  
Multi-State Markov and Hidden Markov Models in Continuous Time
Functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal d ...
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  

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