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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