nlraa: 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) <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.

Version:	1.5
Depends:	R (≥ 3.5.0)
Imports:	boot, knitr, MASS, Matrix, mgcv, nlme, stats
Suggests:	bbmle, car, emmeans, ggplot2, lattice, minpack.lm, NISTnls, nlstools, nls2, parallel, rmarkdown, segmented
Published:	2022-08-17
Author:	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]
Maintainer:	Fernando Miguez <femiguez at iastate.edu>
BugReports:	https://github.com/femiguez/nlraa/issues
License:	GPL-3
NeedsCompilation:	no
Materials:	README
CRAN checks:	nlraa results

Documentation:

Reference manual:	nlraa.pdf
Vignettes:	Prediction, Bootstrap and Simulation for Nonlinear Models Confidence and Prediction Bands Methods for Nonlinear Models nlraa: Models and Functions for Mixed Models Nonlinear Regression (Archontoulis and Miguez) paper nlraa: An R package for Nonlinear Regression Applications in Agricultural Research

Downloads:

Package source:	nlraa_1.5.tar.gz
Windows binaries:	r-devel: nlraa_1.5.zip, r-release: nlraa_1.5.zip, r-oldrel: nlraa_1.5.zip
macOS binaries:	r-release (arm64): nlraa_1.5.tgz, r-oldrel (arm64): nlraa_1.5.tgz, r-release (x86_64): nlraa_1.5.tgz, r-oldrel (x86_64): nlraa_1.5.tgz
Old sources:	nlraa archive

Reverse dependencies:

Reverse suggests:

ib, nlsr

Linking:

Please use the canonical form https://CRAN.R-project.org/package=nlraa to link to this page.