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BSTFA  

Bayesian Spatio-Temporal Factor Analysis Model
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BSTFA", "0.1.0")



Attach the package and use:
library("BSTFA")
Maintained by
Candace Berrett
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-08-28
Latest Update: 2025-08-28
Description:
Implements Bayesian spatio-temporal factor analysis models for multivariate data observed across space and time. The package provides tools for model fitting via Markov chain Monte Carlo (MCMC), spatial and temporal interpolation, and visualization of latent factors and loadings to support inference and exploration of underlying spatio-temporal patterns. Designed for use in environmental, ecological, or public health applications, with support for posterior prediction and uncertainty quantification. Includes functions such as BSTFA() for model fitting and plot_factor() to visualize the latent processes.Functions are based on and extended from methods described in Berrett, et al. (2020) <doi:10.1002/env.2609>.
How to cite:
Candace Berrett (2025). BSTFA: Bayesian Spatio-Temporal Factor Analysis Model. R package version 0.1.0, https://cran.r-project.org/web/packages/BSTFA. Accessed 07 Aug. 2026.
Previous versions and publish date:
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Complete documentation for BSTFA
Functions, R codes and Examples using the BSTFA R package
Full BSTFA package functions and examples
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