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Rsolnp: General Non-Linear Optimization

General Non-linear Optimization Using Augmented Lagrange Multiplier Method.

Version: 2.0.0
Depends: R (≥ 3.0.2)
Imports: Rcpp, truncnorm, parallel, stats, numDeriv, future.apply
LinkingTo: Rcpp (≥ 0.10.6), RcppArmadillo
Suggests: knitr, rmarkdown
Published: 2025-06-20
DOI: 10.32614/CRAN.package.Rsolnp
Author: Alexios Galanos ORCID iD [aut, cre, cph], Stefan Theussl ORCID iD [ctb], Yinyu Ye [aut] (Original author of the solnp Matlab code, Stanford University)
Maintainer: Alexios Galanos <alexios at 4dscape.com>
License: GPL-2
NeedsCompilation: yes
Materials: ChangeLog
In views: Optimization
CRAN checks: Rsolnp results

Documentation:

Reference manual: Rsolnp.pdf
Vignettes: Introduction to SOLNP ver 2.0.0 (source, R code)

Downloads:

Package source: Rsolnp_2.0.0.tar.gz
Windows binaries: r-devel: Rsolnp_1.16.zip, r-release: Rsolnp_2.0.0.zip, r-oldrel: Rsolnp_2.0.0.zip
macOS binaries: r-release (arm64): Rsolnp_2.0.0.tgz, r-oldrel (arm64): Rsolnp_2.0.0.tgz, r-release (x86_64): Rsolnp_2.0.0.tgz, r-oldrel (x86_64): Rsolnp_2.0.0.tgz
Old sources: Rsolnp archive

Reverse dependencies:

Reverse depends: alphaOutlier, depmixS4, DiscreteInverseWeibull, DiscreteWeibull, DMQ, Familias, GsymPoint, HardyWeinberg, IDPSurvival, Jacquard, MEIGOR, mipfp, portn, regsem, robustDA, SemiMarkov, SPEM
Reverse imports: ACDm, AIPW, apollo, clickstream, CompositeReliability, compositeReliabilityInNestedDesigns, ConsReg, cops, DNAmixturesLite, DNAtools, dosedesignR, fEGarch, fPortfolio, GARCHIto, GARCHSK, garma, GAS, GDINA, GofKmt, groupWQS, guess, highfrequency, KinMixLite, likelihoodAsy, longevity, MachineShop, MetaIntegration, mev, mixOofA, movieROC, mrds, prodest, QFASA, qfasar, QuantBondCurves, r6qualitytools, Renvlp, Repitools, rmgarch, robustGarch, rugarch, Select, SIRE, spGARCH, tsdistributions, tseriesTARMA, tsmarch, vaccine
Reverse suggests: DoseFinding, ecpc, LambertW, lessSEM, markovchain, mcgf, metafor, mirt, txshift

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Rsolnp to link to this page.

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.
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