CRAN/E | nlraa

nlraa

Nonlinear Regression for Agricultural Applications

Installation

About

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.

Bug report File report

Key Metrics

Version 1.9.7
R ≥ 3.5.0
Published 2023-12-19 132 days ago
Needs compilation? no
License GPL-3
CRAN checks nlraa results

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Maintainer

Maintainer

Fernando Miguez

femiguez@iastate.edu

Authors

Fernando Miguez

aut / cre

Caio dos Santos

ctb

(author of SSscard)

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

Material

README
Reference manual
Package source

In Views

Agriculture

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

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

nlraa archive

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

Reverse Imports

nlive
soiltestcorr

Reverse Suggests

ib
nlsr