R Observatory: Metrics for nlsic version 1.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

nlsic

1.2.0

Non Linear Least Squares with Inequality Constraints

2packages depend

4.4Kdownloads / year

44.2%test coverage

13/13checks pass

Overview

About

Maintained by Serguei SokolFirst published 2022-01-116 releasesCRAN page ↗GitHub ↗

We solve non linear least squares problems with optional equality and/or inequality constraints. Non linear iterations are globalized with back-tracking method. Linear problems are solved by dense QR decomposition from 'LAPACK' which can limit the size of treated problems. On the other side, we avoid condition number degradation which happens in classical quadratic programming approach. Inequality constraints treatment on each non linear iteration is based on 'NNLS' method (by Lawson and Hanson). We provide an original function 'lsi_ln' for solving linear least squares problem with inequality constraints in least norm sens. Thus if Jacobian of the problem is rank deficient a solution still can be provided. However, truncation errors are probable in this case. Equality constraints are treated by using a basis of Null-space. User defined function calculating residuals must return a list having residual vector (not their squared sum) and Jacobian. If Jacobian is not in the returned list, package 'numDeriv' is used to calculated finite difference version of Jacobian. The 'NLSIC' method was fist published in Sokol et al. (2012) doi:10.1093/bioinformatics/btr716.

Install

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

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

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

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("MathsCell/nlsic")

Development version from MathsCell/nlsic. Installs pak first if it is not already available.

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-nlsic

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-nlsic

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-nlsic

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 1.1 min · r-oldrel-macos-x86_64

Code health

Yes

Tests · ratio 0.01

44.2%

Coverage · measured lines

100%

Documentation · exports

3

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 0%

Downloads

4.4K

CRAN downloads in the past year

Rank #12,260 · ~12/day · ~363/mo

Releases R versions

Daily download trend is not available in this view yet.

18830 days

80990 days

4.4K1 year

Compare downloads with other packages →

Also on146 r2u20 autocran1.6K conda_forge42 c2d4u

Repository

GitHub ↗ mathscell/nlsic

1Stars

0Forks

0Open issues

0Open PRs

0Releases

10Commits

1Contributors

10 commits · Last activity 2026-01-27

Stars over time

2023-07-06 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/mathscell/nlsic on 2026-08-16.

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Depends (3)

nnls dotty glue

Imports (0)

none

LinkingTo (0)

none

Suggests (3)

numDeriv RUnit limSolve

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

2direct

0indirect

dynafluxr bspline

Code & Tests

People & History

People (1)

Maintainer (1)

Serguei Sokol

Author, Maintainer

Authors (1)

Serguei Sokol

Author, Maintainer

Package Timeline

6 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
1.2.0Latest
2026-01-28 · current release · diff ↗
1.1.1
2025-06-27 · diff ↗
1.1.0
2025-05-16 · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
1.0.4
2023-06-26 · diff ↗
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
1.0.2
2022-04-12 · diff ↗
1.0.1
2022-01-11
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2022-01-11
Total releases: 6 / 4 yrs
License: GPL-2 OSI
Download size: 25 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Optimization and Mathematical Programming

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("nlsic")

Format

Sokol, S. (2026). nlsic: Non Linear Least Squares with Inequality Constraints (Version 1.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.nlsic

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 nlsic version 1.2.0 [Data set]. HJJB, LLC. Data release v2026-08-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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