DESCRIPTION

Package: BSTVC
Title: Spatiotemporal heterogeneous perspective for analyzing influencing factors, identifying key drivers, and making dynamic predictions, all within a unified 'full-map' framework
Version: 25.01.28
Authors@R: 
    c(person(given = "Chao",
             family = "Song",
             role = c("aut","cph","cre"),
             email = "chaosong.gis@gmail.com"),
      person(given = "Xianteng",
             family = "Tang",
             role = c("aut","com"),
             email = "tangxxxxt@163.com"))
Description: Providing a "full map" geographical modeling framework designed to precisely capture spatiotemporal differences (spatiotemporal nonstationarity effects) in variable relationships, 
    revealing the spatiotemporal heterogeneous impact mechanisms of multiple explanatory variables. 
    It is concise and user-friendly, meeting the in-depth needs of professionals while lowering the barrier to complex Bayesian modeling, 
    enabling a broader user base to easily apply advanced Bayesian spatiotemporal regression analysis methods to interpret and explain complex spatiotemporal panel data. 
    It is applicable to various fields involving geographical spatial data in natural and human sciences, including but not limited to public health, medical geography, environmental health, economics, and social medicine.
    For more detailed information on the developers and BSTVC series of models, users are directed to refer to the [Chao Song](https://chaosong.blog/) and [BSTVC]( https://chaosong.blog/bayesian-stvc/).
License: file LICENSE
License_restricts_use: yes
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Imports: 
    compiler,
    dplyr,
    INLA (>= 24.06.27),
    rlang,
    scales,
    spdep,
    stats,
    stringr
Depends: 
    R (>= 4.4.0)
LazyData: true
Suggests: 
    forestplot,
    ggbeeswarm,
    ggplot2,
    ggthemes,
    knitr,
    pandoc,
    rmarkdown,
    rticles,
    sf,
    tidyr,
    utils
VignetteBuilder: knitr
Maintainer: Chao Song <chaosong.gis@gmail.com>
URL: https://github.com/songbi123/BSTVC
BugReports: https://github.com/songbi123/BSTVC/issues