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EpiExposure: Exposure-Lag-Response Modeling for Plant Disease Epidemiology

Supports modeling and interpretation of environmental exposure-lag-response relationships in plant disease epidemiology using distributed lag non-linear models (DLNMs). Provides functions for defining complete exposure profiles, evaluating model identifiability, summarizing lag-specific and period-specific effects, performing sensitivity analyses, simulating environmental exposure scenarios, predicting plant disease outcomes, quantifying yield and economic losses, and evaluating individual and ensemble models. Supports harmonized frequentist and Bayesian modeling workflows. Builds on the framework implemented in the 'dlnm' package and described by Gasparrini (2011) <doi:10.18637/jss.v043.i08>.

Version: 0.1.0
Depends: R (≥ 4.1)
Imports: dlnm, stats, glmmTMB, brms, spaMM, rlang, mgcv, nlme, ggplot2, scales
Suggests: dplyr, tidyr, purrr, tidyselect, INLA, knitr, rmarkdown, testthat (≥ 3.0.0), pkgdown, readxl, patchwork, metR, bdlnm, cowplot, future, sn, future.apply
Published: 2026-11-06
DOI: 10.32614/CRAN.package.EpiExposure (may not be active yet)
Author: Ricardo Gomes Tomáz ORCID iD [aut, cre], Emerson M. Del Ponte ORCID iD [aut], Felipe Dalla Lana ORCID iD [aut]
Maintainer: Ricardo Gomes Tomáz <ricardogomesagro at gmail.com>
BugReports: https://github.com/tomazrg/EpiExposure/issues
License: MIT + file LICENSE
URL: https://github.com/tomazrg/EpiExposure, https://tomazrg.github.io/EpiExposure/
NeedsCompilation: no
Additional_repositories: https://inla.r-inla-download.org/R/stable
Materials: README, NEWS
CRAN checks: EpiExposure results

Documentation:

Reference manual: EpiExposure.html , EpiExposure.pdf
Vignettes: Advanced Topics (source, R code)
Yield and Economic Losses (source, R code)
Get started with EpiExposure (source, R code)
Model Selection and Ensemble Forecasting (source, R code)
Sensitivity Analysis and Decision Support (source, R code)
Simulation and Prediction (source, R code)
Understanding Effects (source, R code)

Downloads:

Package source: EpiExposure_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: EpiExposure_0.1.0.zip
macOS binaries: r-release (arm64): EpiExposure_0.1.0.tgz, r-oldrel (arm64): EpiExposure_0.1.0.tgz, r-release (x86_64): EpiExposure_0.1.0.tgz, r-oldrel (x86_64): EpiExposure_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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