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: |
1.2.10 |
| Depends: |
R (≥ 3.6) |
| Imports: |
drc, ggplot2, boot, minpack.lm, dplyr, rcompanion, broom, egg, purrr |
| Published: |
2024-01-16 |
| 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 |
Documentation:
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