Regression Analysis Linear and Nonlinear for Agriculture R package AgroReg version 1.2.11 CRAN Task View: Agriculture (https://CRAN.R-project.org/view=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. Software Depends: R (>= 3.6) Imports: drc, ggplot2, boot, minpack.lm, dplyr, rcompanion, broom, egg, purrr Gabriel Danilo Shimizu <gabrield.shimizu@gmail.com> Comprehensive R Archive Network (CRAN) Gabriel Danilo Shimizu [aut, cre] (ORCID: <https://orcid.org/0000-0001-8524-508X>), Leandro Simoes Azeredo Goncalves [aut, ctb] (ORCID: <https://orcid.org/0000-0001-9700-9375>) GPL (>= 2) 2025-07-01 application/tgz https://CRAN.R-project.org/package=AgroReg doi:10.32614/CRAN.package.AgroReg