Links[{"label":"NMOF.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/NMOF/refman/NMOF.html"},{"label":"NMOF.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/NMOF/NMOF.pdf"},{"label":"An Overview of the NMOF Package","section":"","type":"","url":"https://cran.r-project.org/web/packages/NMOF/vignettes/An_overview.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/NMOF/vignettes/An_overview.Rnw"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/NMOF/vignettes/An_overview.R"},{"label":"Fitting the Nelson–Siegel–Svensson model with Differential Evolution","section":"","type":"","url":"https://cran.r-project.org/web/packages/NMOF/vignettes/DEnss.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/NMOF/vignettes/DEnss.Rnw"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/NMOF/vignettes/DEnss.R"},{"label":"Solving the N-Queens Problem with Local Search","section":"","type":"","url":"https://cran.r-project.org/web/packages/NMOF/vignettes/LSqueens.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/NMOF/vignettes/LSqueens.Rnw"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/NMOF/vignettes/LSqueens.R"},{"label":"Asset selection with Local Search","section":"","type":"","url":"https://cran.r-project.org/web/packages/NMOF/vignettes/LSselect.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/NMOF/vignettes/LSselect.Rnw"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/NMOF/vignettes/LSselect.R"},{"label":"Robust Regression with Particle Swarm Optimisation and Differential Evolution","section":"","type":"","url":"https://cran.r-project.org/web/packages/NMOF/vignettes/PSlms.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/NMOF/vignettes/PSlms.Rnw"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/NMOF/vignettes/PSlms.R"},{"label":"Portfolio Optimisation with Threshold Accepting","section":"","type":"","url":"https://cran.r-project.org/web/packages/NMOF/vignettes/TAportfolio.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/NMOF/vignettes/TAportfolio.Rnw"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/NMOF/vignettes/TAportfolio.R"}]
TextReference manual: NMOF.html , NMOF.pdf Vignettes: An Overview of the NMOF Package ( source , R code ) Fitting the Nelson–Siegel–Svensson model with Differential Evolution ( source , R code ) Solving the N-Queens Problem with Local Search ( source , R code ) Asset selection with Local Search ( source , R code ) Robust Regression with Particle Swarm Optimisation and Differential Evolution ( source , R code ) Portfolio Optimisation with Threshold Accepting ( source , R code ) Functions for portfolio selection ( source , R code ) Examples for the qTable function ( source , R code ) Repairing solutions ( source , R code ) Vectorised objective functions ( source , R code )