nlsr (2019.9.7)

0 users

Functions for Nonlinear Least Squares Solutions.

http://cran.r-project.org/web/packages/nlsr

Provides tools for working with nonlinear least squares problems. It is intended to eventually supersede the 'nls()' function in the R distribution. For example, 'nls()' specifically does NOT deal with small or zero residual problems as its Gauss-Newton method frequently stops with 'singular gradient' messages. 'nlsr' is based on the now-deprecated package 'nlmrt', and has refactored functions and R-language symbolic derivative features.

Maintainer: John C. Nash
Author(s): John C Nash [aut, cre], Duncan Murdoch [aut]

License: GPL-2

Uses: digest, Ryacas, minpack.lm, numDeriv, Rcgmin, Rvmmin, optimx, knitr, rmarkdown, Deriv
Reverse depends: colf

Released 3 months ago.


5 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of nlsr yet. Want to be the first? Write one now.


Related packages: DEoptim, LowRankQP, TSP, boot, bvls, clue, desirability, gafit, genalg, glpk, gsl, igraph, kernlab, linprog, lpSolve, minpack.lm, nls2, nnls, optmatch, powell(20 best matches, based on common tags.)


Search for nlsr on google, google scholar, r-help, r-devel.

Visit nlsr on R Graphical Manual.