Links[{"label":"resemble.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/resemble/refman/resemble.html"},{"label":"resemble.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/resemble/resemble.pdf"},{"label":"8 Building a library of models with liblex","section":"","type":"","url":"https://cran.r-project.org/web/packages/resemble/vignettes/building-a-library-of-models-with-liblex.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/resemble/vignettes/building-a-library-of-models-with-liblex.qmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/resemble/vignettes/building-a-library-of-models-with-liblex.R"},{"label":"6 Classical memory-based learning (local modelling)","section":"","type":"","url":"https://cran.r-project.org/web/packages/resemble/vignettes/classical-mbl.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/resemble/vignettes/classical-mbl.qmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/resemble/vignettes/classical-mbl.R"},{"label":"2 Dimensionality reduction of spectral data","section":"","type":"","url":"https://cran.r-project.org/web/packages/resemble/vignettes/dimensionality-reduction.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/resemble/vignettes/dimensionality-reduction.qmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/resemble/vignettes/dimensionality-reduction.R"},{"label":"3 Estimating dissimilarity between spectra","section":"","type":"","url":"https://cran.r-project.org/web/packages/resemble/vignettes/estimating-dissimilarity-between-spectra.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/resemble/vignettes/estimating-dissimilarity-between-spectra.qmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/resemble/vignettes/estimating-dissimilarity-between-spectra.R"},{"label":"7 Evolutionary subset search using gesearch","section":"","type":"","url":"https://cran.r-project.org/web/packages/resemble/vignettes/evolutionary-subset-search.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/resemble/vignettes/evolutionary-subset-search.qmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/resemble/vignettes/evolutionary-subset-search.R"},{"label":"1 Essential concepts and setup","section":"","type":"","url":"https://cran.r-project.org/web/packages/resemble/vignettes/intro.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/resemble/vignettes/intro.qmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/resemble/vignettes/intro.R"}]
TextReference manual: resemble.html , resemble.pdf Vignettes: 8 Building a library of models with liblex ( source , R code ) 6 Classical memory-based learning (local modelling) ( source , R code ) 2 Dimensionality reduction of spectral data ( source , R code ) 3 Estimating dissimilarity between spectra ( source , R code ) 7 Evolutionary subset search using gesearch ( source , R code ) 1 Essential concepts and setup ( source , R code ) 4 Nearest-neighbor search ( source , R code ) 5 Simple global models ( source , R code )