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sparseLM  

Interface to the 'sparseLM' Levenberg-Marquardt Library
View on CRAN: Click here


Download and install sparseLM package within the R console
Install from CRAN:
install.packages("sparseLM")

Install from Github:
library("remotes")
install_github("cran/sparseLM")

Install by package version:
library("remotes")
install_version("sparseLM", "0.5")



Attach the package and use:
library("sparseLM")
Maintained by
Colin Smith
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-30
Latest Update: 2026-03-30
Description:
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>.
How to cite:
Colin Smith (2026). sparseLM: Interface to the 'sparseLM' Levenberg-Marquardt Library. R package version 0.5, https://cran.r-project.org/web/packages/sparseLM. Accessed 13 Sep. 2026.
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Complete documentation for sparseLM
Functions, R codes and Examples using the sparseLM R package
Full sparseLM package functions and examples
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