AgroReg: Regression Analysis Linear and Nonlinear for Agriculture
Linear and nonlinear regression analysis common in agricultural science articles (Archontoulis & Miguez (2015). <doi:10.2134/agronj2012.0506>). The package includes polynomial, exponential, gaussian, logistic, logarithmic, segmented, non-parametric models, among others. The functions return the model coefficients and their respective p values, coefficient of determination, root mean square error, AIC, BIC, as well as graphs with the equations automatically.
| Version: | 1.2.11 |
| Depends: | R (≥ 3.6) |
| Imports: | drc,ggplot2,boot,minpack.lm,dplyr,rcompanion,broom,egg,purrr |
| Published: | 2025-07-01 |
| DOI: | 10.32614/CRAN.package.AgroReg |
| Author: | Gabriel Danilo Shimizu [aut, cre], Leandro Simoes Azeredo Goncalves [aut, ctb] |
| Maintainer: | Gabriel Danilo Shimizu <gabrield.shimizu at gmail.com> |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://fisher.uel.br/AgroReg_shiny/,https://fisher.uel.br/AgroReg_shiny.pt/ |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| In views: | Agriculture |
| CRAN checks: | AgroReg results |
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