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.
|Author||John C Nash [aut, cre], Duncan Murdoch [aut]|
|Maintainer||John C Nash <email@example.com>|
|Package repository||View on CRAN|
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