This package provides the principal functions to perform accelerated meta-kriging, for both univariate and multivariate spatial regression. The package is used mostly within the novel working paper "Bayesian Transfer Learning and Divide-Conquer Models for Massive Spatial Datasets" (Luca Presicce and Sudipto Banerjee, 2024+)". In order to guarantee the reproducibility of scientific results, in the Bayesian-Transfer-Learning-and-Divide-Conquer-Models repository are also available all the scripts of code used for simulations and data analysis presented in the work and its Supplemental material.
| Folder | Description |
|---|---|
R |
contains funtions in R |
src |
contains function in Rcpp/C++ |
Since the package is not already available on CRAN (already submitted, and hopefully soon available), we use the devtools R package to install. Then, check for its presence on your device, otherwise install it:
if (!require(devtools)) {
install.packages("devtools", dependencies = TRUE)
}
Once you have installed devtools, we can proceed. Let's install the ASMK package!
devtools::install_github("lucapresicce/ASMK")
Cool! You are ready to start, now you too could perform fast & feasible Bayesian geostatistical modeling!
| Author | Luca Presicce (l.presicce@campus.unimib.it) |
| Maintainer | Luca Presicce (l.presicce@campus.unimib.it) |
| Reference | Luca Presicce and Sudipto Banerjee (2024+) "Bayesian Transfer Learning and Divide-Conquer Models for Massive Spatial Datasets" |