# Nonlinear Regression for Agricultural Applications

## Documentation for package ‘nlraa’ version 0.73

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

barley | Barley response to nitrogen fertilizer
bell | self start for a bell-shaped curve
bg4rp | self start for the reparameterized Beta growth function with four parameters
bgf | self start for Beta Growth Function
bgf2 | self start for Beta Growth Function
bgf4 | self start for Beta growth function with four parameters
bgrp | self start for the reparameterized Beta growth function
blin | self start for a bilinear Function
boot_lm | Bootstrapping for linear models
boot_lme | Bootstraping for linear mixed models
boot_nlme | Bootstraping for generalized nonlinear models and nonlinear mixed models
dlf | self start for Declining Logistic Function
expf | self start for an exponential function
expfp | self start for an exponential-plateau function
explin | self start for the exponential-linear growth equation
hill1 | self start for Hill Function
hill2 | self start for Hill Function
hill3 | self start for Hill Function
lfmc | Live fuel moisture content
linp | self start for linear-plateau function
logis5 | self start for five-parameter logistic function
nlraa.env | Environment to store options and data for nlraa
nlsLMList | Create a list of nls objects with the option of using nlsLM in addition to nls
nlsLMList.formula | Formula method for nls 'LM' list method
nrh | self start for non-rectangular hyperbola (photosynthesis)
pexpf | self start for plateau-exponential function
plin | self start for plateau-linear function
pquad | self start for plateau-quadratic function
profd | self start for profile decay function
quadp | self start for quadratic-plateau function
ratio | self start for a rational curve
ricker | self start for Ricker Function
simulate_gls | Simulate fitted values from an object of class 'gls'
simulate_gnls | Simulate fitted values from an object of class 'gnls'
simulate_lm | Simulate responses from a linear model 'lm'
simulate_lme | Simulate values from an object of class 'lme'
simulate_nlme | Simulate samples from a nonlinear mixed model from fixed effects
simulate_nlme_one | Simulate fitted values from an object of class 'nlme'
sm | Sorghum and Maize growth in Greece
SSbell | self start for a bell-shaped curve
SSbg4rp | self start for the reparameterized Beta growth function with four parameters
SSbgf | self start for Beta Growth Function
SSbgf4 | self start for Beta growth function with four parameters
SSbgrp | self start for the reparameterized Beta growth function
SSblin | self start for a bilinear Function
SSdlf | self start for Declining Logistic Function
SSexpf | self start for an exponential function
SSexpfp | self start for an exponential-plateau function
SSexplin | self start for the exponential-linear growth equation
SShill | self start for Hill Function
SShill1 | self start for Hill Function
SShill2 | self start for Hill Function
SShill3 | self start for Hill Function
SSlinp | self start for linear-plateau function
SSlogis5 | self start for five-parameter logistic function
SSnrh | self start for non-rectangular hyperbola (photosynthesis)
SSpexpf | self start for plateau-exponential function
SSplin | self start for plateau-linear function
SSpquad | self start for plateau-quadratic function
SSprofd | self start for profile decay function
SSquadp | self start for quadratic-plateau function
SSratio | self start for a rational curve
SSricker | self start for Ricker Function
SStrlin | self start for a trilinear Function
swpg | Water limitations for Soybean growth
trlin | self start for a trilinear Function
var_cov | Variance Covariance matrix of for g(n)ls and (n)lme models