Package: nlsr 2024.01.29

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.

Authors:John C Nash [aut, cre], Duncan Murdoch [aut], Fernando Miguez [ctb], Arkajyoti Bhattacharjee [ctb]

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nlsr.pdf |nlsr.html✨
nlsr/json (API)
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Peer review:

Bug tracker:https://github.com/nashjc/nlsr/issues

On CRAN:

39 exports 1.93 score 1 dependencies 4 dependents 1 mentions 92 scripts 555 downloads

Last updated 6 months agofrom:4bf2ecfe2f. Checks:OK: 1 WARNING: 6. Indexed: yes.

Exports:codeDerivdexfindSubexprsfnDerivisCALLisMINUSONEisONEisZEROjabackjacentraljafwdjandmodel2rjfunmodel2ssgrfunmodelexprnewDerivnewSimplificationnlfbnlsDerivnlsrnlsr.controlnlsrSSnlsSimplifynlxbnumericDerivRnvecpctrlpnlspnlslmprtpshortrawresresgrresssSSlogisJNSSmod2rjfunsysDerivssysSimplificationswrapnlsr

Dependencies:digest