R Observatory: Metrics for nlsr version 2026.4.29

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

nlsr

2026.4.29Package record

Functions for Nonlinear Least Squares Solutions - Updated 2022

3packages depend

8.7Kdownloads / year

51.0%test coverage

13/13flavors OK

Overview

About

Maintained by John C NashCRAN page ↗

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.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("nlsr", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-nlsr

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-nlsr

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-nlsr

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 2.9 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK12 OK2026-04-25
ERROR13 OK, 1 ERROR2026-03-30
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

Documentation signals are not tracked yet for this package.

Websitenot tracked

Vignettes (5)

How these are measured

Downloads

8.7K

CRAN downloads in the past year

Rank #4,172 · ~24/day · ~726/mo

nlsr Releases R versions

Daily download trend is not available in this view yet.

71730 days

2.1K90 days

8.7K1 year

Compare downloads with other packages →

Also on153 r2u6 autocran178 c2d4u

How downloads are counted

Dependencies

Declared dependencies

12 external dependencies (excludes base and recommended)

Installing nlsr adds 1 package (1 with compiled code, 231 KB of source tarballs). Heaviest: digest 231 KB.

Depends (1)

R >= 3.5

Imports (1)

digest

LinkingTo (0)

none

Suggests (12)

minpack.lm optimx numDeriv knitr rmarkdown markdown Ryacas Deriv microbenchmarkMASSggplot2 nlraa

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

3direct

1indirect

Imports 3

Depends, Imports or LinkingTo, most downloaded first

beezdemand usl genSEIR

How these are counted

Code & Tests

People & History

People (4)

John C Nash

Author, Maintainer since 2017.2.12 (2017)

Duncan Murdoch

Author

Arkajyoti Bhattacharjee

Contributor · added in 2023.2.8

Fernando Miguez

Contributor · added in 2023.2.8

Listed in earlier versions (1)

Nash

no longer listed · 2017.2.12 to 2026.4.29

Releases (13)

2026.4.29Latest
record
2026-05-01 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
2023.8.31
record
2023-09-05 · diff ↗
2023.5.8
record
2023-05-10 · diff ↗ ·
removed 2 exports
pnlm0, pnls0

added 2 exports
pnlslm, pnls
R
R 4.3.0 released · 2023-04-21
2023.2.12
record
2023-02-14 · diff ↗
2023.2.8
record
2023-02-09 · diff ↗ ·
removed 1 export
rawres.nlsr

added 5 exports
SSlogisJN, nlsr, nlsrSS, prt, rawres
2022.8.16
record
2022-08-16 · diff ↗ ·
removed 7 exports
res, predict.nlsr, print.nlsr, summary.nlsr, coef.nlsr, rjfundoc, isFALSE

added 13 exports
SSmod2rjfun, jaback, jacentral, jafwd, jand, nlsr.control, numericDerivR, nvec, pctrl, pnlm0, pnls0, pshort, rawres.nlsr
R
R 4.2.0 released · 2022-04-22
2021.8.19
record
2021-08-20 · diff ↗ ·
added 1 export
predict.nlsr
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
2019.9.7
record
2019-09-08 · diff ↗
R
R 3.6.0 released · 2019-04-26

Show 8 earlier eventsHide 8 earlier events

R
R 3.5.0 released · 2018-04-23
2018.1.28
record
2018-02-01 · diff ↗
2017.10.4
record
2017-10-05 · diff ↗
2017.6.18
record
2017-06-20 · diff ↗
R
R 3.4.0 released · 2017-04-21
2017.2.19
record
2017-02-24 · diff ↗
2017.2.12
record
2017-02-13
R
R 3.3.0 released · 2016-05-03

Package metadata

First published: 2017-02-13
Total releases: 13 / 9 yrs
License: GPL-2 OSI
Download size: 2.1 MB

Appears in task views

Optimization and Mathematical Programming

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("nlsr")

Format

Nash, J. C., Bhattacharjee, A., Miguez, F., & Murdoch, D. (2026). nlsr: Functions for Nonlinear Least Squares Solutions - Updated 2022 (Version 2026.4.29) [Computer software]. https://doi.org/10.32614/CRAN.package.nlsr

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for nlsr version 2026.4.29 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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