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This package provides the principal parallelized implementation of forward filtering backward sampling algorithm, along with dynamic Bayesian predictive stacking to achieve exact posterior inference avoiding simulation-based approaches for multivariate spatiotemporal models.
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 spFFBS package!
devtools::install_github("lucapresicce/spFFBS")Once successfully installed, load the library in R.
library(spFFBS)Cool! You are ready to start, now you too could perform fast & feasible Bayesian spatiotemporal modeling!
| Author | Luca Presicce (l.presicce@campus.unimib.it) |
| Maintainer | Luca Presicce (l.presicce@campus.unimib.it) |
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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