nlsr
Functions for Nonlinear Least Squares Solutions - Updated 2022
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.
- Version2023.8.31
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release09/05/2023
Documentation
Team
John C Nash
Duncan Murdoch
Show author detailsRolesAuthorFernando Miguez
Show author detailsRolesContributorArkajyoti Bhattacharjee
Show author detailsRolesContributor
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