Installation
About
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.
fisher.uel.br/AgroReg_shiny/ | |
fisher.uel.br/AgroReg_shiny.pt/ |
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