Nonlinear Regression for Agricultural Applications

Additional nonlinear regression functions using self-start (SS) algorithms. One of the functions is the Beta growth function proposed by Yin et al. (2003) . There are several other functions with breakpoints (e.g. linear-plateau, plateau-linear, exponential-plateau, plateau-exponential, quadratic-plateau, plateau-quadratic and bilinear), a non-rectangular hyperbola and a bell-shaped curve. Twenty one (21) new self-start (SS) functions in total. This package also supports the publication 'Nonlinear regression Models and applications in agricultural research' by Archontoulis and Miguez (2015) , a book chapter with similar material and a publication by Oddi et. al. (2019) in Ecology and Evolution . The function 'nlsLMList' uses nlsLM for fitting, but it is otherwise almost identical to 'nlme::nlsList'.In addition, this release of the package provides functions for conducting simulation for 'nlme' and 'gnls' objects as well as bootstrapping. These functions are intended to work with the modeling framework of the 'nlme' package. It also provides four vignettes with extended examples.


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install.packages("nlraa")

0.73 by Fernando Miguez, 4 months ago


Report a bug at https://github.com/femiguez/nlraa/issues


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


Authors: Fernando Miguez [aut, cre] , José Pinheiro [ctb, cph] (author of nlme::nlsList , nlme::predict.gnls , nlme::predict.nlme) , Douglas Bates [ctb, cph] (author of nlme::nlsList , nlme::predict.gnls , nlme::predict.nlme) , R-core [ctb, cph]


Documentation:   PDF Manual  


GPL-3 license


Imports boot, knitr, MASS, Matrix, mgcv, nlme, stats

Suggests bbmle, car, emmeans, ggplot2, HydroMe, lattice, minpack.lm, NISTnls, nlstools, nls2, parallel, segmented


See at CRAN