Package: sparseLM 0.5

Colin Smith

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>.

Authors:Colin Smith [aut, cre], Manolis Lourakis [aut]

sparseLM_0.5.tar.gz
sparseLM_0.5.zip(r-4.7)sparseLM_0.5.zip(r-4.6)sparseLM_0.5.zip(r-4.5)
sparseLM_0.5.tgz(r-4.6-x86_64)sparseLM_0.5.tgz(r-4.6-arm64)sparseLM_0.5.tgz(r-4.5-x86_64)sparseLM_0.5.tgz(r-4.5-arm64)
sparseLM_0.5.tar.gz(r-4.7-arm64)sparseLM_0.5.tar.gz(r-4.7-x86_64)sparseLM_0.5.tar.gz(r-4.6-arm64)sparseLM_0.5.tar.gz(r-4.6-x86_64)
sparseLM_0.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
sparseLM/json (API)

# Install 'sparseLM' in R:
install.packages('sparseLM', repos = c('https://smith-group.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/smith-group/sparselm/issues

Pkgdown/docs site:https://smith-group.github.io

On CRAN:

Conda:

3.30 score 445 downloads 4 exports 2 dependencies

Last updated from:24a5e75811. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK151
linux-devel-x86_64OK103
source / vignettesOK148
linux-release-arm64OK111
linux-release-x86_64OK115
macos-release-arm64OK84
macos-release-x86_64OK505
macos-oldrel-arm64OK104
macos-oldrel-x86_64OK240
windows-develOK127
windows-releaseOK90
windows-oldrelOK98
wasm-releaseOK93

Exports:add_assign_col_inplaceadd_assign_col_inplace_unsafesparselmsparselm.opts

Dependencies:latticeMatrix