Package: rmweather
Type: Package
Title: Tools to Conduct Meteorological Normalisation and Counterfactual
        Modelling for Air Quality Data
Version: 0.2.64
Date: 2025-12-03
Authors@R: person("Stuart K.", "Grange", email = "s.k.grange@gmail.com", 
    role = c("cre", "aut"), comment = c(ORCID = "0000-0003-4093-3596"))
Maintainer: Stuart K. Grange <s.k.grange@gmail.com>
Description: An integrated set of tools to allow data users to conduct
        meteorological normalisation and counterfactual modelling for
        air quality data. The meteorological normalisation technique
        uses predictive random forest models to remove variation of
        pollutant concentrations so trends and interventions can be
        explored in a robust way. For examples, see Grange et al.
        (2018) <doi:10.5194/acp-18-6223-2018> and Grange and Carslaw
        (2019) <doi:10.1016/j.scitotenv.2018.10.344>. The random forest
        models can also be used for counterfactual or business as usual
        (BAU) modelling by using the models to predict, from the
        model's perspective, the future. For an example, see Grange et
        al. (2021) <doi:10.5194/acp-2020-1171>.
URL: https://github.com/skgrange/rmweather
BugReports: https://github.com/skgrange/rmweather/issues
License: GPL-3 | file LICENSE
ByteCompile: true
Depends: R (>= 3.2.0)
Imports: dplyr (>= 1.0.1), ggplot2, lubridate, magrittr, pdp, purrr (>=
        1.0.0), ranger, stringr, strucchange, tibble, viridis, tidyr,
        cli
Suggests: testthat, openair
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.3
Config/pak/sysreqs: libicu-dev
Repository: https://skgrange.r-universe.dev
Date/Publication: 2025-12-03 14:49:23 UTC
RemoteUrl: https://github.com/skgrange/rmweather
RemoteRef: HEAD
RemoteSha: a30a9812ab5e6953f15a7ce602f03188c9943c1b
NeedsCompilation: no
Packaged: 2026-09-24 08:52:56 UTC; root
Author: Stuart K. Grange [cre, aut] (ORCID:
    <https://orcid.org/0000-0003-4093-3596>)