AgroReg: Regression Analysis Linear and Nonlinear for Agriculture (original) (raw)
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 |
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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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