Package: nlsr
Type: Package
Title: Functions for Nonlinear Least Squares Solutions - Updated 2022
Version: 2025.02.16
Date: 2025-02-16
Authors@R: c(person(given = c("John", "C"), family = "Nash", 
        role = c("aut", "cre"), email = "nashjc@uottawa.ca"), 
    	person(given = "Duncan", family = "Murdoch", role = "aut", 
        email = "murdoch.duncan@gmail.com"),
        person(given= "Fernando", family = "Miguez", role="ctb", 
         email="femiguez@iastate.edu"), 
        person(given= "Arkajyoti", family = "Bhattacharjee", role="ctb", 
         email="arkastat98@gmail.com"))
Maintainer: John C Nash <nashjc@uottawa.ca>
Description: 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.
License: GPL-2
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: digest
Suggests: minpack.lm, optimx, numDeriv, knitr, rmarkdown, markdown,
        Ryacas, Deriv, microbenchmark, MASS, ggplot2, nlraa
VignetteBuilder: knitr
RoxygenNote: 7.2.1
NeedsCompilation: no
Packaged: 2026-06-16 09:31:47 UTC; root
Author: John C Nash [aut, cre], Duncan Murdoch [aut], Fernando Miguez
        [ctb], Arkajyoti Bhattacharjee [ctb]
Repository: https://nashjc.r-universe.dev
Date/Publication: 2025-02-17 14:38:15 UTC
RemoteUrl: https://github.com/nashjc/nlsr
RemoteRef: HEAD
RemoteSha: 7e4c212ee7413d7b366212b7a8ed70b2ba678616