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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.
Getting started
Browse package contents
Package details |
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| Author | Gabriel Danilo Shimizu [aut, cre] (<https://orcid.org/0000-0001-8524-508X>), Leandro Simoes Azeredo Goncalves [aut, ctb] (<https://orcid.org/0000-0001-9700-9375>) |
| Maintainer | Gabriel Danilo Shimizu <gabrield.shimizu@gmail.com> |
| License | GPL (>= 2) |
| Version | 1.2.10 |
| URL | https://fisher.uel.br/AgroReg_shiny/ https://fisher.uel.br/AgroReg_shiny.pt/ |
| Package repository | View on CRAN |
| Installation |
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