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sparseLM: Interface to the 'sparseLM' Levenberg-Marquardt Library

Provides an R interface to the 'sparseLM' C library for large-scale nonlinear least squares problems with arbitrarily sparse Jacobians. The underlying solver implements a sparse variant of the Levenberg-Marquardt algorithm for minimizing sum-of-squares objective functions, supports user-supplied analytic Jacobians or finite-difference approximation, and is designed to exploit sparsity for improved memory use and performance. This package exposes the solver in R and uses sparse matrix classes and the 'CHOLMOD' sparse Cholesky factorization routines through the 'Matrix' package interface. Methods from the C library are described in Lourakis (2010) <doi:10.1007/978-3-642-15552-9_4>.

Version: 0.5
Depends: Matrix
Imports: methods
LinkingTo: Matrix
Published: 2026-03-30
DOI: 10.32614/CRAN.package.sparseLM
Author: Colin Smith ORCID iD [aut, cre], Manolis Lourakis ORCID iD [aut]
Maintainer: Colin Smith <colin.smith at wesleyan.edu>
License: GPL-2
URL: https://github.com/smith-group/sparseLM, https://smith-group.github.io/sparseLM/
NeedsCompilation: yes
Citation: sparseLM citation info
Materials: README
CRAN checks: sparseLM results

Documentation:

Reference manual: sparseLM.html , sparseLM.pdf

Downloads:

Package source: sparseLM_0.5.tar.gz
Windows binaries: r-devel: sparseLM_0.5.zip, r-release: sparseLM_0.5.zip, r-oldrel: not available
macOS binaries: r-release (arm64): sparseLM_0.5.tgz, r-oldrel (arm64): not available, r-release (x86_64): sparseLM_0.5.tgz, r-oldrel (x86_64): sparseLM_0.5.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.