rmweather
Tools to Conduct Meteorological Normalisation and Counterfactual Modelling for Air Quality Data
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>.
Downloads
541
Last 30 days
6615th
1.6K
Last 90 days
7.1K
Last year
Trend: +5.5% (30d vs prior 30d)
9
Last 30 days
23
Last 90 days
112
Last year
Trend: -35.7% (30d vs prior 30d)
6
Last 7 days
14
Last 30 days
2
All-time
autoCRAN-only: this name is served only by autoCRAN, so the count is exact.
CRAN Check Status
Show all 13 flavors
| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-debian-clang | OK |
| r-devel-linux-x86_64-debian-gcc | OK |
| r-devel-linux-x86_64-fedora-clang | OK |
| r-devel-linux-x86_64-fedora-gcc | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | OK |
| r-oldrel-macos-x86_64 | OK |
| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |
Check History
OK 13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Jun 8, 2026
WARNING 12 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE Jun 7, 2026
Rd files
cannot open the connection cannot open the connection cannot open the connection cannot open the connection cannot open the connection cannot open the connection cannot open the connection problems found in ‘dplyr-functions.Rd’, ‘model_london.Rd’, ‘pipe.Rd’, ‘rmw_calculate_model_errors.Rd’, ‘rmw_clip.Rd’, ‘rmw_do_all.Rd’, ‘rmw_find_breakpoints.Rd’