leafareaR: Leaf Area Modeling, Evaluation, and Prediction

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>.

Version:	0.0.1
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
Published:	2026-07-06
DOI:	10.32614/CRAN.package.leafareaR (may not be active yet)
Author:	Joao Everthon da Silva Ribeiro [aut, cre], Ester dos Santos Coelho [aut], Toshik Iarley da Silva [aut]
Maintainer:	Joao Everthon da Silva Ribeiro <everthonribeiro10 at gmail.com>
BugReports:	https://github.com/agrobioestat/leafareaR/issues
License:	GPL (≥ 3)
URL:	https://github.com/agrobioestat/leafareaR
NeedsCompilation:	no
Materials:	README
CRAN checks:	leafareaR results

Documentation:

Reference manual:	leafareaR.html , leafareaR.pdf
Vignettes:	Getting started with leafareaR (source, R code)

Downloads:

Package source:	leafareaR_0.0.1.tar.gz
Windows binaries:	r-devel: not available, r-release: leafareaR_0.0.1.zip, r-oldrel: not available
macOS binaries:	r-release (arm64): leafareaR_0.0.1.tgz, r-oldrel (arm64): leafareaR_0.0.1.tgz, r-release (x86_64): leafareaR_0.0.1.tgz, r-oldrel (x86_64): leafareaR_0.0.1.tgz

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