Other packages > Find by keyword >

spStack  

Bayesian Geostatistics Using Predictive Stacking
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("spStack", "1.0.1")



Attach the package and use:
library("spStack")
Maintained by
Soumyakanti Pan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-10-03
Latest Update: 2024-10-08
Description:
Fits Bayesian hierarchical spatial process models for point-referenced Gaussian, Poisson, binomial, and binary data using stacking of predictive densities. It involves sampling from analytically available posterior distributions conditional upon some candidate values of the spatial process parameters and, subsequently assimilate inference from these individual posterior distributions using Bayesian predictive stacking. Our algorithm is highly parallelizable and hence, much faster than traditional Markov chain Monte Carlo algorithms while delivering competitive predictive performance. See Zhang, Tang, and Banerjee (2024) <doi:10.48550/arXiv.2304.12414>, and, Pan, Zhang, Bradley, and Banerjee (2024) <doi:10.48550/arXiv.2406.04655> for details.
How to cite:
Soumyakanti Pan (2024). spStack: Bayesian Geostatistics Using Predictive Stacking. R package version 1.0.1, https://cran.r-project.org/web/packages/spStack. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.0 (2024-10-03 20:50)
Other packages that cited spStack R package
View spStack citation profile
Other R packages that spStack depends, imports, suggests or enhances
Complete documentation for spStack
Functions, R codes and Examples using the spStack R package
Full spStack package functions and examples
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

kgschart  
KGS Rank Graph Parser
Restore underlining numeric data from rating history graph of KGS (an online platform of the game o ...
Download / Learn more Package Citations See dependency  
deductive  
Data Correction and Imputation Using Deductive Methods
Attempt to repair inconsistencies and missing values in data records by using information from vali ...
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  
RcppHNSW  
'Rcpp' Bindings for 'hnswlib', a Library for Approximate Nearest Neighbors
'Hnswlib' is a C++ library for Approximate Nearest Neighbors. This package provides a minimal R int ...
Download / Learn more Package Citations See dependency  
crossrun  
Joint Distribution of Number of Crossings and Longest Run
Joint distribution of number of crossings and the longest run in a series of independent Bernoulli ...
Download / Learn more Package Citations See dependency  
SCBiclust  
Identifies Mean, Variance, and Hierarchically Clustered Biclusters
Identifies a bicluster, a submatrix of the data such that the features and observations within the s ...
Download / Learn more Package Citations See dependency  

23,229

R Packages

199,929

Dependencies

62,984

Author Associations

23,230

Publication Badges

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