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)
NEWS

# Install 'nlsr' in R:
install.packages('nlsr', repos = c('https://nashjc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

On CRAN:

6.75 score 4 packages 94 scripts 510 downloads 1 mentions 39 exports 1 dependencies

Last updated 8 months agofrom:4bf2ecfe2f. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-winWARNINGNov 10 2024
R-4.5-linuxWARNINGNov 10 2024
R-4.4-winWARNINGNov 10 2024
R-4.4-macWARNINGNov 10 2024
R-4.3-winWARNINGNov 10 2024
R-4.3-macWARNINGNov 10 2024

Exports:codeDerivdexfindSubexprsfnDerivisCALLisMINUSONEisONEisZEROjabackjacentraljafwdjandmodel2rjfunmodel2ssgrfunmodelexprnewDerivnewSimplificationnlfbnlsDerivnlsrnlsr.controlnlsrSSnlsSimplifynlxbnumericDerivRnvecpctrlpnlspnlslmprtpshortrawresresgrresssSSlogisJNSSmod2rjfunsysDerivssysSimplificationswrapnlsr

Dependencies:digest

nlsr/nlsr Background, Development, and Discussion

John C. Nash

Rendered fromnlsr-devdoc.Rmdusingknitr::rmarkdownon Nov 10 2024.

Last update: 2024-04-06
Started: 2023-09-03

nlsr and Other Approaches to Derivatives in R

John C. Nash

Rendered fromnlsr-derivs.Rmdusingknitr::rmarkdownon Nov 10 2024.

Last update: 2024-04-06
Started: 2023-09-03

An introduction to nlsr

John C. Nash

Rendered fromIntro-to-nlsr.Rmdusingknitr::rmarkdownon Nov 10 2024.

Last update: 2024-04-06
Started: 2023-09-03

Specifying and Using Fixed Parameters in Nonlinear Estimation

John C. Nash

Rendered fromFixedParameters.Rmdusingknitr::rmarkdownon Nov 10 2024.

Last update: 2024-04-06
Started: 2023-09-03

Symbolic and analytical derivatives in R

John C. Nash

Rendered fromR-analytic-derivatives.Rmdusingknitr::rmarkdownon Nov 10 2024.

Last update: 2024-04-06
Started: 2023-09-03