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Provides tools for Bayesian learning of spatiotemporal dynamical mechanistic models. Includes methods for parameter estimation, simulation, and inference using hierarchical and state-space modeling approaches, following Banerjee, Chen, Frankenburg and Zhou (2025) <https://jmlr.org/papers/v26/22-0896.html>.
| Version: | 1.0.2 |
| Depends: | R (≥ 4.0) |
| Imports: | Rcpp, matrixsampling, invgamma, deSolve, ReacTran, LaplacesDemon, matrixcalc, mniw, utils, stats, ggpubr, ggplot2, readr, magrittr, rlang, scales |
| LinkingTo: | Rcpp, RcppEigen |
| Suggests: | testthat (≥ 3.0.0), here, knitr, rmarkdown |
| Published: | 2026-06-09 |
| DOI: | 10.32614/CRAN.package.spDBL |
| Author: | Xiang Chen [aut, cre], Sudipto Banerjee [aut] |
| Maintainer: | Xiang Chen <xiangchen at ucla.edu> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | yes |
| Citation: | spDBL citation info |
| Materials: | README |
| CRAN checks: | spDBL results |
| Reference manual: | spDBL.html , spDBL.pdf |
| Vignettes: |
PDE Emulation with FFBS (source, R code) |
| Package source: | spDBL_1.0.2.tar.gz |
| Windows binaries: | r-devel: spDBL_1.0.2.zip, r-release: spDBL_1.0.2.zip, r-oldrel: spDBL_1.0.2.zip |
| macOS binaries: | r-release (arm64): spDBL_1.0.2.tgz, r-oldrel (arm64): spDBL_1.0.2.tgz, r-release (x86_64): spDBL_1.0.2.tgz, r-oldrel (x86_64): spDBL_1.0.2.tgz |
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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.