Package: bayesiansurpriser
Title: Bayesian Surprise for De-Biasing Thematic Maps
Version: 0.1.0
Authors@R: 
    person("Dmitry", "Shkolnik", , "shkolnikd@gmail.com", role = c("aut", "cre"))
Author: Dmitry Shkolnik [aut, cre]
Maintainer: Dmitry Shkolnik <shkolnikd@gmail.com>
Description: Implements Bayesian Surprise methodology for data visualization,
    based on Correll and Heer (2017) <doi:10.1109/TVCG.2016.2598839>
    "Surprise! Bayesian Weighting for De-Biasing Thematic Maps". Provides
    tools to weight event data relative to spatio-temporal models,
    highlighting unexpected patterns while de-biasing against known factors
    like population density or sampling variation. Integrates seamlessly with
    'sf' for spatial data and 'ggplot2' for visualization. Supports
    temporal/streaming data analysis.
License: MIT + file LICENSE
URL: https://dshkol.github.io/bayesiansurpriser/,
        https://github.com/dshkol/bayesiansurpriser
BugReports: https://github.com/dshkol/bayesiansurpriser/issues
Encoding: UTF-8
RoxygenNote: 7.3.2
Depends: R (>= 4.1.0)
Imports: ggplot2 (>= 3.5.0), sf (>= 1.0.0), scales (>= 1.3.0), rlang
        (>= 1.1.0), cli, stats, MASS, RColorBrewer
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, dplyr, tibble, vdiffr,
        tidycensus, tigris, cancensus, ggrepel
Config/testthat/edition: 3
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-04-21 06:44:08 UTC; dmitryshkolnik
Repository: CRAN
Date/Publication: 2026-04-21 20:52:29 UTC
Built: R 4.6.0; ; 2026-04-27 11:45:28 UTC; windows
