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leafareaR  

Leaf Area Modeling, Evaluation, and Prediction
View on CRAN: Click here


Download and install leafareaR package within the R console
Install from CRAN:
install.packages("leafareaR")

Install from Github:
library("remotes")
install_github("cran/leafareaR")

Install by package version:
library("remotes")
install_version("leafareaR", "0.0.1")



Attach the package and use:
library("leafareaR")
Maintained by
Joao Everthon da Silva Ribeiro
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-06
Latest Update: 2026-07-06
Description:
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>.
How to cite:
Joao Everthon da Silva Ribeiro (2026). leafareaR: Leaf Area Modeling, Evaluation, and Prediction. R package version 0.0.1, https://cran.r-project.org/web/packages/leafareaR. Accessed 28 Oct. 2026.
Previous versions and publish date:
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Complete documentation for leafareaR
Functions, R codes and Examples using the leafareaR R package
Full leafareaR package functions and examples
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