Package: climasus4r
Title: Integrated Analysis Toolkit for Health, Climate, and
        Environmental Data in Brazil: Reproducible Workflows for
        Climate-Health Research
Version: 1.0.0
Authors@R: 
    c(person(given = "Max",
             family = "Anjos",
             role = c("aut", "cre", "cph"),
             email = "max.anjos@ufjf.br",
             comment = c(ORCID = "0000-0001-6394-1324")),
       person(given = "Thaua",
             family = "Menezes",
             role = c("ctb"),
             email = "thaua.menezes@unesp.br",
             comment = c(ORCID = "0000-0002-3015-2270")),
        person(given = "Marlon",
             family = "Faria",
             role = c("ctb"),
             email = "marlon.faria@usp.br",
             comment = c(ORCID = "0000-0002-9485-4079"))     
             )
Description: climasus4r is a comprehensive R toolkit for integrated
        analysis of health, climate, and environmental data in Brazil.
        The package automates the entire data pipeline: (1) importing
        and cleaning health data from the Brazilian Unified Health
        System (SUS) across six systems (SIM, SIH, SINAN, SIA, CNES,
        SINASC); (2) integrating climate data (INMET, ERA5), air
        quality (AQI), environmental data (MapBiomas), and
        socioeconomic indicators (IBGE); (3) performing flexible
        spatiotemporal aggregation at multiple scales; (4) constructing
        reproducible analytical pipelines (RAPs) that ensure
        transparency and replicability. Designed for researchers
        studying climate-health interactions, environmental
        vulnerability, and adaptation strategies in the Brazilian
        context. Supports multilingual output (Portuguese, Spanish,
        English) and parallel processing for large datasets.
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Depends: R (>= 4.1.0)
Imports: dplyr (>= 1.0.0), stringi (>= 1.7.0), cli (>= 3.0.0),
        lubridate, microdatasus, magrittr, tidyr, fs, digest, stats,
        rlang, stringr, purrr, data.table, glue, read.dbc, furrr,
        future, duckdb, tibble, generics, scales
Remotes: rfsaldanha/microdatasus
Suggests: arrow, nanoparquet, RColorBrewer, ggrepel, DBI, slider,
        splines, sf, censobr, geobr, geocodebr, sfarrow, duckspatial,
        knitr, rmarkdown, ggplot2, future.apply, xgboost, zoo, MASS,
        dlnm, rstudioapi, DT, ggplot2, ggsci, viridisLite, htmltools,
        patchwork, plotly, htmlwidgets, httr, httr2, parallelly,
        jsonlite, gt, leaflet, mvmeta, survival, terra, exactextractr,
        ncdf4, readxl, spdep (>= 1.3), spatialreg (>= 1.3), CARBayes
        (>= 6.1), SpatialEpi (>= 1.2), INLA, targets (>= 1.0.0),
        tarchetypes, shiny (>= 1.7.0), yaml, renv, quarto, strucchange
Additional_repositories: https://inla.r-inla-download.org/R/stable
URL: https://bymaxanjos.r-universe.dev/climasus4r,
        https://github.com/ByMaxAnjos/climasus4r
BugReports: https://github.com/ByMaxAnjos/climasus4r/issues
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libssl-dev
        xz-utils
Repository: https://bymaxanjos.r-universe.dev
Date/Publication: 2026-07-10 16:26:21 UTC
RemoteUrl: https://github.com/ByMaxAnjos/climasus4r
RemoteRef: HEAD
RemoteSha: 6115248fc85ed4a8d5c5e873af7657fa1da1c261
NeedsCompilation: no
Packaged: 2026-07-10 18:21:26 UTC; root
Author: Max Anjos [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0001-6394-1324>),
  Thaua Menezes [ctb] (ORCID: <https://orcid.org/0000-0002-3015-2270>),
  Marlon Faria [ctb] (ORCID: <https://orcid.org/0000-0002-9485-4079>)
Maintainer: Max Anjos <max.anjos@ufjf.br>