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. Eighteen 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> 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'. One of the main benefits is that these functions can be integrated in the modeling framework of the 'nlme' package. It also provides three vignettes with extended examples.

Total

0

Last month

0

Last week

0

Average per day

0

Daily downloads

Total downloads

Description file content

Package
nlraa
Version
0.53
Title
Nonlinear Regression for Agricultural Applications
Description
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. Eighteen 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'. One of the main benefits is that these functions can be integrated in the modeling framework of the 'nlme' package. It also provides three vignettes with extended examples.
Depends
R (>= 3.5.0)
License
GPL-3
Encoding
UTF-8
VignetteBuilder
knitr
BugReports
https://github.com/femiguez/nlraa/issues
Imports
knitr, nlme, stats
Suggests
bbmle, emmeans, ggplot2, HydroMe, lattice, minpack.lm, nlstools, nls2, segmented
LazyData
true
RoxygenNote
6.1.1
NeedsCompilation
no
Packaged
2020-01-09 21:39:02 UTC; fernandomiguez
Author
Fernando Miguez [aut, cre] (), José Pinheiro [ctb, cph] (author of nlme::nlsList), Douglas Bates [ctb, cph] (author of nlme::nlsList), R-core [ctb, cph]
Maintainer
Fernando Miguez
Repository
CRAN
Date/Publication
2020-01-13 16:20:02 UTC

install.packages('nlraa')

0.53

11 days ago

Fernando Miguez

GPL-3

Depends on

R (>= 3.5.0)

Imports

knitr, nlme, stats

Suggests

bbmle, emmeans, ggplot2, HydroMe, lattice, minpack.lm, nlstools, nls2, segmented

Discussions