Nonlinear Regression for Agricultural Applications
Simulate samples from a nonlinear mixed model from fixed effects
self start for the reparameterized Beta growth function with four para...
self start for Beta Growth Function
Simulate fitted values from an object of class nlme
Simulate fitted values from an object of class nls
self start for an asymmetric Gaussian bell-shaped curve
self start for a bell-shaped curve
Bootstrapping for linear models
Bootstraping for linear mixed models
Bootstraping for generalized nonlinear models and nonlinear mixed mode...
Bootstrapping for nonlinear models
Indexes of Agreement Table
Information Criteria Table
Environment to store options and data for nlraa
Formula method for nls LM list method
Create a list of nls objects with the option of using nlsLM in additio...
Modified prediciton function based on predict.gam
Average predictions from several (non)linear models based on IC weight...
Average predictions from several (non)linear models based on IC weight...
self start for Beta 5-parameter function
Prediction Bands for Nonlinear Regression
Print an object of class boot
R-squared for nonlinear mixed models
Simulate responses from a generalized additive linear model gam
Simulate fitted values from an object of class gls
Simulate fitted values from an object of class gnls
Simulate responses from a linear model lm
Simulate values from an object of class lme
self start for Beta growth function with four parameters
self start for the reparameterized Beta growth function
self start for a bilinear Function
self start for cardinal temperature response
self start for Declining Logistic Function
self start for an exponential function
self start for an exponential-plateau function
self start for the exponential-linear growth equation
self start for a harmonic regression model
self start for Hill Function
self start for linear-plateau function
self start for five-parameter logistic function
self start for modified hyperbola (photosynthesis)
self start for non-rectangular hyperbola (photosynthesis)
self start for plateau-exponential function
self start for plateau-linear function
self start for plateau-quadratic function
self start for plateau-quadratic function
self start for profile decay function
self start for quadratic-plateau function
self start for quadratic-plateau function
self start for quadratic-plateau function (xs)
self start for a rational curve
self start for Ricker Function
self start for smooth cardinal temperature response
self start for temperature response
self start for Collatz temperature response
self start for a trilinear Function
Summarize a matrix of simulations by their mean (median), sd (mad), an...
Variance Covariance matrix of for g(n)ls and (n)lme models
Additional nonlinear regression functions using self-start (SS) algorithms. One of the functions is the Beta growth function proposed by Yin et al. (2003) <doi:10.1093/aob/mcg029>. 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 eight (28) 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) <doi:10.2134/agronj2012.0506>, a book chapter with similar material <doi:10.2134/appliedstatistics.2016.0003.c15> and a publication by Oddi et. al. (2019) in Ecology and Evolution <doi:10.1002/ece3.5543>. 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 simulations 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.