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nlsr
View on CRAN: Click
here
Download and install nlsr package within the R console
Install from CRAN:
install.packages("nlsr")
Install from Github:
library("remotes")
install_github("cran/nlsr")
Install by package version:
library("remotes")
install_version("nlsr", "2023.8.31")
Attach the package and use:
library("nlsr")
Maintained by
John C Nash
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.nlsr . nlsr results . nlsr.pdf . nlsr Introduction . nlsr Derivatives . nlsr Background, Development, Examples and Discussion . nlsr_2023.8.31.tar.gz . nlsr_2023.8.31.zip . nlsr_2023.8.31.zip . nlsr_2023.8.31.zip . nlsr_2023.8.31.tgz . nlsr_2023.8.31.tgz . nlsr_2023.8.31.tgz . nlsr_2023.8.31.tgz . nlsr archive . https://CRAN.R-project.org/package=nlsr .
First Published: 2017-02-13
Latest Update: 2023-09-05
Description:
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.
How to cite:
John C Nash (2017). nlsr: Functions for Nonlinear Least Squares Solutions - Updated 2022. R package version 2023.8.31, https://cran.r-project.org/web/packages/nlsr. Accessed 04 May. 2025.
Previous versions and publish date:
2017.2.12 (2017-02-13 08:39), 2017.2.19 (2017-02-24 16:47), 2017.6.18 (2017-06-20 00:38), 2017.10.4 (2017-10-05 18:31), 2018.1.28 (2018-02-01 00:07), 2019.9.7 (2019-09-08 18:30), 2021.8.19 (2021-08-20 10:40), 2022.8.16 (2022-08-16 23:10), 2023.2.8 (2023-02-09 01:10), 2023.2.12 (2023-02-14 11:00), 2023.5.8 (2023-05-10 17:50)
Other packages that cited nlsr R package
View nlsr citation profile
Other R packages that nlsr depends,
imports, suggests or enhances
Complete documentation for nlsr
Functions, R codes and Examples using
the nlsr R package
Some associated functions: SSlogisJN . coef.nlsr . dex . findSubexprs . fitted.nlsr . isCALL . isZERO . jaback . jacentral . jafwd . jand . model2rjfun . newDeriv . newSimplification . nlfb . nlsDeriv . nlsSimplify . nlsr.control . nlsr . nlsr.package . nlsrSS . nlxb . numericDerivR . nvec . pctrl . pnls . pnlslm . predict.nlsr . print.nlsr . prt . pshort . rawres . resgr . resid.nlsr . residuals.nlsr . resss . summary.nlsr . sysDerivs . wrapnlsr .
Some associated R codes: SSlogisJN.R . derivs.R . model2rjfun.R . nlfb.R . nlsr.package.R . nlsrSS.R . nlxb.R . numericDerivR.R . resJacFns.R . wrapnlsr.R . Full nlsr package functions and examples
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