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AgroReg  

Regression Analysis Linear and Nonlinear for Agriculture
View on CRAN: Click here


Download and install AgroReg package within the R console
Install from CRAN:
install.packages("AgroReg")

Install from Github:
library("remotes")
install_github("cran/AgroReg")

Install by package version:
library("remotes")
install_version("AgroReg", "1.2.11")



Attach the package and use:
library("AgroReg")
Maintained by
Gabriel Danilo Shimizu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-08-02
Latest Update: 2025-07-01
Description:
Linear and nonlinear regression analysis common in agricultural science articles (Archontoulis & Miguez (2015). ). 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.
How to cite:
Gabriel Danilo Shimizu (2021). AgroReg: Regression Analysis Linear and Nonlinear for Agriculture. R package version 1.2.11, https://cran.r-project.org/web/packages/AgroReg. Accessed 06 Aug. 2026.
Previous versions and publish date:
1.0.0 (2021-08-02 10:30), 1.1.0 (2021-08-09 15:30), 1.2.0 (2021-10-11 15:10), 1.2.1 (2021-11-18 13:30), 1.2.2 (2022-03-30 08:40), 1.2.4 (2022-05-14 08:10), 1.2.5 (2022-06-07 01:30), 1.2.6 (2022-07-12 01:30), 1.2.7 (2022-10-19 18:37), 1.2.8 (2023-01-10 15:23), 1.2.9 (2023-01-18 13:10), 1.2.10 (2024-01-16 13:50), (2026-07-09 07:57)
Other packages that cited AgroReg R package
View AgroReg citation profile
Other R packages that AgroReg depends, imports, suggests or enhances
Complete documentation for AgroReg
Functions, R codes and Examples using the AgroReg R package
Some associated functions: AM . AgroReg-package . BC . CD . GP . LL . LM . LM13 . LM13i . LM23 . LM23i . LM2i3 . LM_i . LOG . LOG2 . MM . Nreg . PAGE . SH . VB . VG . adjust_scale . adjust_scale_x . adjust_scale_y . aristolochia . asymptotic . asymptotic_i . asymptotic_ineg . asymptotic_neg . beta_reg . biexponential . coloredit_arrange . comparative_model . correlation . extract.model . gaussianreg . granada . hill . interval.confidence . linear.linear . linear.plateau . loessreg . logistic . lorentz . midilli . midillim . mitscherlich . newton . peleg . plateau.linear . plateau.quadratic . plot_arrange . potential . quadratic.plateau . regression . stat_param . thompson . valcam . weibull . yieldloss . 
Some associated R codes: AM_analysis.R . BC_analysis.R . BIEXP_analysis.R . CD_analysis.R . IC_analysis.R . LL_analysis.R . LM13_analysis.R . LM13i_analysis.R . LM23_analysis.R . LM23i_analysis.R . LM2i3_analysis.R . LM_analysis.R . LM_i_analysis.R . LNplt_analysis.R . LOG2_analysis.R . LOG_analysis.R . MM_analysis.R . N_analysis.R . PAGE_analysis.R . SH_function.R . VB_analysis.R . VG_analysis.R . adjust_scale.R . adjust_scale_x.R . adjust_scale_y.R . aristolochia_dataset.R . asymptotic_analysis.R . asymptotic_i_analysis.R . asymptotic_i_sup_analysis.R . asymptotic_sup_analysis.R . beta_analysis.R . color_edition.R . comparative_function.R . correlation_analysis.R . extractmodel_analysis.R . gaussian_analysis.R . gompertz_analysis.R . granada_dataset.R . hill_analysis.R . linearlinear_analysis.R . loess_analysis.R . logistic_analysis.R . lorentz_analysis.R . midilli_analysis.R . midillim_analysis.R . mitscherlich_analysis.R . newton_analysis.R . package.R . peleg_analysis.R . plot_arrange.R . pltLN_analysis.R . pltQD_analysis.R . potential_analysis.R . quadraticplateau_analysis.R . regression.R . stat_param.R . thompson_analysis.R . valcam_analysis.R . weibull_analysis.R . yieldloss_analysis.R .  Full AgroReg package functions and examples
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