Exposure-Lag-Response Modeling for Plant Disease Epidemiology R package EpiExposure version 0.1.0 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>. Software 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 Ricardo Gomes Tomáz <ricardogomesagro@gmail.com> Comprehensive R Archive Network (CRAN) Ricardo Gomes Tomáz [aut, cre] (ORCID: <https://orcid.org/0000-0001-7708-4263>), Emerson M. Del Ponte [aut] (ORCID: <https://orcid.org/0000-0003-4398-409X>), Felipe Dalla Lana [aut] (ORCID: <https://orcid.org/0000-0002-3112-6197>) MIT + file LICENSE (https://CRAN.R-project.org/package=EpiExposure/LICENSE) 2026-11-06 application/tgz https://CRAN.R-project.org/package=EpiExposure doi:10.32614/CRAN.package.EpiExposure