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.
Version: 2023.8.31 Depends: R (≥ 3.5) Imports: digest Suggests: minpack.lm, optimx, numDeriv, knitr, rmarkdown, markdown, Ryacas, Deriv, microbenchmark, MASS, ggplot2, nlraa Published: 2023-09-05 DOI: 10.32614/CRAN.package.nlsr Author: John C Nash [aut, cre], Duncan Murdoch [aut], Fernando Miguez [ctb], Arkajyoti Bhattacharjee [ctb] Maintainer: John C Nash <nashjc at uottawa.ca> License: GPL-2 NeedsCompilation: no Materials: README NEWS In views: Optimization CRAN checks: nlsr results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=nlsr to link to this page.
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