Functions for Nonlinear Least Squares Solutions - Updated 2022
coef.nlsr
dex
findSubexprs
fitted.nlsr
isCALLTest if argument is a particular call
Test for constants
jaback
jacentral
jafwd
jand
model2rjfun
newDeriv
newSimplification
nlfb: nonlinear least squares modeling by functions
nlsDeriv Functions to take symbolic derivatives.
nlsr.control
nlsr-packageTools for solving nonlinear least squares problemsThe pack...
nlsr function
nlsrSS - solve selfStart nonlinear least squares with nlsr package
nlsSimplify
nlxb: nonlinear least squares modeling by formula
numericDerivR: numerically evaluates the gradient of an expression. Al...
nvec
pctrl
pnls
pnlslm
predict.nlsr
print.nlsr
pshort
prt
rawres
resgr
resid.nlsr
residuals.nlsr
resss
Alternative self start for three-parameter logistic function SSlogis
summary.nlsr
Internal Environments
wrapnlsr
Provides tools for working with nonlinear least squares problems. For the estimation of models reliable and robust tools than nls(), where the the Gauss-Newton method frequently stops with 'singular gradient' messages. This is accomplished by using, where possible, analytic derivatives to compute the matrix of derivatives and a stabilization of the solution of the estimation equations. Tools for approximate or externally supplied derivative matrices are included. Bounds and masks on parameters are handled properly.