Regression Analysis Linear and Nonlinear for Agriculture

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.


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install.packages("AgroReg")

1.2.1 by Gabriel Danilo Shimizu, 2 months ago


Browse source code at https://github.com/cran/AgroReg


Authors: Gabriel Danilo Shimizu [aut, cre] , Leandro Simoes Azeredo Goncalves [aut, ctb]


Documentation:   PDF Manual  


GPL (>= 2) license


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


See at CRAN