Other packages > Find by keyword >

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 05 Jun. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited BSTFA R package
View BSTFA citation profile
Other R packages that BSTFA depends, imports, suggests or enhances
Complete documentation for BSTFA
Functions, R codes and Examples using the BSTFA R package
Full BSTFA package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

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  
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  
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  
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  
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  

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