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AgroReg

Package: AgroReg

Type: Package

Title: Regression Analysis Linear and Nonlinear for Agriculture

Version: 1.2.3

Date: 2022-05-04

Authors: Gabriel Danilo Shimizu & Leandro Simoes Azeredo Goncalves

Maintainer: Gabriel Danilo Shimizu shimizu@uel.br

Description: 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.

License: GPL (>= 2)

Imports: drc, ggplot2, boot, minpack.lm, dplyr, rcompanion, broom, egg

Depends: R (>= 3.6)

Encoding: UTF-8

LazyData: true

RoxygenNote: 7.1.2

Installation

# Install release version from CRAN
install.packages("AgroReg")

# Install development version from GitHub
devtools::install_github("https://github.com/AgronomiaR/AgroReg.git")

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Version

Install

install.packages('AgroReg')

Monthly Downloads

436

Version

1.2.11

License

GPL (>= 2)

Homepage

https://fisher.uel.br/AgroReg_shiny/

Maintainer

Gabriel Danilo Shimizu

Last Published

July 1st, 2025

Functions in AgroReg (1.2.11)

Analysis: Von Bertalanffy

Analysis: Logarithmic

Analysis: Logarithmic quadratic

Analysis: Linear, quadratic, quadratic inverse, cubic and quartic without intercept

Analysis: Vega-Galvez

Analysis: Graph for not significant trend

Analysis: Michaelis-Menten

Analysis: Asymptotic or Exponential Negative

Utils: Adjust x scale

Analysis: Cubic inverse without beta1

Analysis: Asymptotic, exponential or Logarithmic

Dataset: Aristolochia

Analysis: Analogous to the Gaussian model/Bragg

Utils: Adjust y scale

Analysis: Extract models

Utils: Adjust y and x scale

Graph: Plot correlation

comparative_model

Analysis: Comparative models

Analysis: Linear-Linear

interval.confidence

Analysis: Interval of confidence

Analysis: Peleg

Analysis: Plateau-Linear

Analysis: Mitscherlich

Analysis: Newton

coloredit_arrange

Change the colors of a graph from the plot_arrange function

Analysis: Linear-Plateau

Analysis: loess regression (degree 0, 1 or 2)

Analysis: Biexponential

Analysis: Midilli

Analysis: Modified Midilli

plateau.quadratic

Analysis: Plateau-quadratic

Merge multiple curves into a single graph

asymptotic_ineg

Analysis: Asymptotic or Exponential Negative without intercept

Analysis: Logistic

Dataset: Granada

Analysis: Asymptotic without intercept

Analysis: Lorentz

Analysis: Weibull

Analysis: Yield-loss

Analysis: Regression linear or nonlinear

Analysis: Other statistical parameters

Analysis: Potencial

Analysis: Thompson

quadratic.plateau

Analysis: Quadratic-plateau

Analysis: Valcam

Analysis: Brain-Cousens

Analysis: Cedergreen-Ritz-Streibig

Analysis: Log-logistic

Analysis: Linear, quadratic, quadratic inverse, cubic and quartic

Analysis: Steinhart-Hart

Analysis: Avhad and Marchetti

Analysis: Gompertz

Analysis: Cubic without beta2

AgroReg-package

AgroReg: Regression Analysis Linear and Nonlinear for Agriculture

Analysis: Cubic without beta1

Analysis: Cubic inverse without beta2

Analysis: Cubic without beta1, with inverse beta3