AgroReg: Regression Analysis Linear and Nonlinear for Agriculture

Linear and nonlinear regression analysis common in agricultural science papers (Archontoulis & Miguez (2015). <doi:10.2134/agronj2012.0506>). The package includes linear, quadratic, cubic, inverse quadratic, exponential, negative exponential, biexponential, Gaussian, three- or four-parameter logistic, four- or five-parameter Brain-Cousens logistic, four- or five-parameter Cedergreen-Ritz-Streibig logistic models. five parameters, Gompertz logistic, Michaelis-Menten, logarithmic, linear-linear segmented, linear-plate segmented, quadratic-plate segmented, nonparametric loess. 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: 1.1.0
Depends: R (≥ 3.6)
Imports: drc, ggplot2, car, crayon, boot, minpack.lm, dplyr, rcompanion, broom
Published: 2021-08-09
Author: Gabriel Danilo Shimizu ORCID iD [aut, cre], Leandro Simoes Azeredo Goncalves ORCID iD [aut, ctb]
Maintainer: Gabriel Danilo Shimizu <shimizu at uel.br>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
CRAN checks: AgroReg results

Downloads:

Reference manual: AgroReg.pdf
Package source: AgroReg_1.1.0.tar.gz
Windows binaries: r-devel: AgroReg_1.1.0.zip, r-release: AgroReg_1.1.0.zip, r-oldrel: AgroReg_1.1.0.zip
macOS binaries: r-release (arm64): AgroReg_1.1.0.tgz, r-release (x86_64): AgroReg_1.1.0.tgz, r-oldrel: AgroReg_1.1.0.tgz
Old sources: AgroReg archive

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