Package: climatehealth 1.0.2

Kenechi Omeke

climatehealth: Statistical Tools for Modelling Climate-Health Impacts

Tools for producing climate-health indicators and supporting official statistics from health and climate data. Implements analytical workflows for temperature-related mortality, wildfire smoke exposure, air pollution, suicides related to extreme heat, malaria, and diarrhoeal disease outcomes, with utilities for descriptive statistics, model validation, attributable fraction and attributable number estimation, relative risk estimation, minimum mortality temperature estimation, and plotting for reporting. These six indicators are endorsed by the United Nations Statistical Commission for inclusion in the Global Set of Environment and Climate Change Statistics. Implemented methods include distributed lag non-linear models (DLNM), quasi-Poisson time-series regression, case-crossover analysis, Bayesian spatio-temporal models using the Integrated Nested Laplace Approximation ('INLA'), and multivariate meta-analysis for sub-national estimates. The package is based on methods developed in the Standards for Official Statistics on Climate-Health Interactions (SOSCHI) project <https://climate-health.officialstatistics.org>. For methodologies, see Watkins et al. (2026) <doi:10.5281/zenodo.14865904>, Jose et al. (2026) <doi:10.5281/zenodo.14052183>, Pearce et al. (2026) <doi:10.5281/zenodo.14050224>, Byukusenge et al. (2026) <doi:10.5281/zenodo.15585042>, Dzakpa et al. (2026) <doi:10.5281/zenodo.14881886>, and Dzakpa et al. (2026) <doi:10.5281/zenodo.14871506>.

Authors:Charlie Browning [aut], Kenechi Omeke [aut, cre], Etse Yawo Dzakpa [aut], Gladin Jose [aut], Matt Pearce [aut], Ellie Watkins [aut], Claire Hunt [aut], Beatrice Byukusenge [aut], Cassien Habyarimana [aut], Venuste Nyagahakwa [aut], Felix Scarbrough [aut], Treesa Shaji [aut], Bonnie Lewis [aut], Maquines Odhiambo Sewe [aut], Vijendra Ingole [aut], Sean Lovell [ctb], Antony Brown [ctb], Euan Soutter [ctb], Gillian Flower [ctb], David Furley [ctb], Joe Panes [ctb], Charlotte Romaniuk [ctb], Milly Powell [ctb], Wellcome [fnd], Office for National Statistics [cph]

climatehealth_1.0.2.tar.gz
climatehealth_1.0.2.tar.gz(r-4.7-any)climatehealth_1.0.2.tar.gz(r-4.6-any)
climatehealth_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
climatehealth/json (API)

# Install 'climatehealth' in R:

install.packages('climatehealth', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.18 score 10 scripts 493 downloads 15 exports 136 dependencies

Last updated from:dc8e3b6c14. Checks:4 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	388
source / vignettes	OK	257
linux-release-x86_64	OK	333
wasm-release	OK	277

Exports:abort_climate abort_column_not_found abort_model_error abort_validation air_pollution_do_analysis diarrhea_do_analysis install_INLA install_terra is_climate_error malaria_do_analysis run_descriptive_stats run_descriptive_stats_api suicides_heat_do_analysis temp_mortality_do_analysis wildfire_do_analysis

Dependencies:abind backports bit bit64 boot broom callr car carData cellranger class classInt cli clipr cmprsk colorspace cowplot cpp11 crayon curl data.table DBI deldir Deriv desc digest dlnm doBy dplyr e1071 Epi etm exactextractr farver forcats forecast Formula fracdiff generics ggplot2 glue gnm gtable hms isoband jsonlite KernSmooth labeling lattice lifecycle lme4 lmtest lubridate magrittr MASS mathjaxr Matrix MatrixModels metadat metafor mgcv microbenchmark minqa mixmeta modelr ncdf4 nlme nloptr nnet numDeriv otel patchwork pbapply pbkrtest pillar pkgbuild pkgconfig plyr png prettyunits processx progress proxy ps purrr quadprog quantmod quantreg qvcalc R6 raster rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack readr readxl reformulas relimp rematch reshape2 rlang s2 S7 scales sf sp SparseM spData spdep stringi stringr survival terra tibble tidyr tidyselect timechange timeDate tseries tsModel TTR tzdb units urca utf8 vctrs viridisLite vroom withr wk xfun xts zoo

Getting Started with climatehealth

Rendered fromgetting-started.Rmdusingknitr::rmarkdown

Last update: 2026-03-30
Started: 2026-03-30

Help page	Topics
climatehealth: Statistical Tools for Modelling Climate-Health Impacts	climatehealth-package climatehealth
Raise a typed error with structured metadata	abort_climate
Raise a column-not-found error with available columns	abort_column_not_found
Raise a model error (statistical/computational failures)	abort_model_error
Raise a validation error (data/parameter issues)	abort_validation
Full analysis for the 'Mortality attributable to short-term exposure to ambient air pollution (PM 2.5)' indicator	air_pollution_do_analysis
Full analysis for the 'diarrheal disease incidence attributable to extreme temperature and extreme rainfall' indicator	diarrhea_do_analysis
Install the INLA Package from Its Official Repository	install_INLA
Install the terra Package from the CRAN Archive	install_terra
Check if an error is a climate_error	is_climate_error
Full analysis for the 'malaria incidence attributable to extreme temperature and extreme rainfall' indicator	malaria_do_analysis
Run generic descriptive statistics and Exploratory Data Analysis outputs for indicator datasets.	run_descriptive_stats
Create descriptive statistics via API-friendly inputs.	run_descriptive_stats_api
Full analysis for the 'suicides attributable to extreme heat' indicator	suicides_heat_do_analysis
Full analysis for the 'mortality attributable to high and low temperatures' indicator	temp_mortality_do_analysis
Full analysis for the 'mortality attributable to wildfire-related PM2.5' indicator	wildfire_do_analysis

Package: climatehealth 1.0.2

climatehealth: Statistical Tools for Modelling Climate-Health Impacts

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)