Leaf Area Modeling, Evaluation, and Prediction R package leafareaR version 0.0.1 Tools for leaf area estimation based on leaf length, leaf width, and observed leaf area. The package supports data validation, predictor generation, descriptive statistics, exploratory graphics, scatterplot matrices, linear models, nonlinear models, mixed models, model evaluation, ranking, equation generation, prediction, export of results and plots, and an interactive 'shiny' application. Methods implemented in the package are aligned with non-destructive allometric workflows described by Ribeiro et al. (2024) <doi:10.1016/j.sajb.2024.07.006>, Ribeiro et al. (2023) <doi:10.1590/1807-1929/agriambi.v27n3p209-215>, and Ribeiro et al. (2025) <doi:10.1590/0103-8478cr20230550>. Software Depends: R (>= 4.4.0) Imports: graphics, ggplot2, lme4, lmerTest, MuMIn, reformulas, rlang, shiny, stats, utils Suggests: knitr, readxl, rmarkdown, testthat (>= 3.0.0), writexl Joao Everthon da Silva Ribeiro <everthonribeiro10@gmail.com> Comprehensive R Archive Network (CRAN) Joao Everthon da Silva Ribeiro [aut, cre], Ester dos Santos Coelho [aut], Toshik Iarley da Silva [aut] GPL (>= 3) 2026-07-06 application/tgz https://CRAN.R-project.org/package=leafareaR doi:10.32614/CRAN.package.leafareaR