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 ORCID iD [aut, cre], Leandro Simoes Azeredo Goncalves ORCID iD [aut, ctb]
Maintainer: Gabriel Danilo Shimizu <gabrield.shimizu at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README NEWS
In views: Agriculture
CRAN checks: AgroReg results


Reference manual: AgroReg.pdf


Package source: AgroReg_1.2.10.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): AgroReg_1.2.10.tgz, r-oldrel (arm64): AgroReg_1.2.10.tgz, r-release (x86_64): AgroReg_1.2.10.tgz, r-oldrel (x86_64): AgroReg_1.2.10.tgz
Old sources: AgroReg archive


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