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
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:

Reference manual:

AgroReg.pdf

Downloads:

Package source:	AgroReg_1.2.10.tar.gz
Windows binaries:	r-devel: AgroReg_1.2.10.zip, r-release: AgroReg_1.2.10.zip, r-oldrel: AgroReg_1.2.10.zip
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

Linking:

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