Package: LDABiplots 0.1.2
LDABiplots: Biplot Graphical Interface for LDA Models
Contains the development of a tool that provides a web-based graphical user interface (GUI) to perform Biplots representations from a scraping of news from digital newspapers under the Bayesian approach of Latent Dirichlet Assignment (LDA) and machine learning algorithms. Contains LDA methods described by Blei , David M., Andrew Y. Ng and Michael I. Jordan (2003) <https://jmlr.org/papers/volume3/blei03a/blei03a.pdf>, and Biplot methods described by Gabriel K.R(1971) <doi:10.1093/biomet/58.3.453> and Galindo-Villardon P(1986) <https://diarium.usal.es/pgalindo/files/2012/07/Questiio.pdf>.
Authors:
LDABiplots_0.1.2.tar.gz
LDABiplots_0.1.2.zip(r-4.5)LDABiplots_0.1.2.zip(r-4.4)LDABiplots_0.1.2.zip(r-4.3)
LDABiplots_0.1.2.tgz(r-4.4-any)LDABiplots_0.1.2.tgz(r-4.3-any)
LDABiplots_0.1.2.tar.gz(r-4.5-noble)LDABiplots_0.1.2.tar.gz(r-4.4-noble)
LDABiplots_0.1.2.tgz(r-4.4-emscripten)LDABiplots_0.1.2.tgz(r-4.3-emscripten)
LDABiplots.pdf |LDABiplots.html✨
LDABiplots/json (API)
# Install 'LDABiplots' in R: |
install.packages('LDABiplots', repos = c('https://pilacuan-bonete-luis.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:9506b83a5b. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win | NOTE | Oct 31 2024 |
R-4.5-linux | NOTE | Oct 31 2024 |
R-4.4-win | NOTE | Oct 31 2024 |
R-4.4-mac | NOTE | Oct 31 2024 |
R-4.3-win | NOTE | Oct 31 2024 |
R-4.3-mac | NOTE | Oct 31 2024 |
Exports:dtmcorrdtmremovetfidfdtmtfidfGHBiplotHJBiplotJKBiplotPlot_BiplotrunLDABiplots
Dependencies:abindaskpassassertthatbackportsbase64encBHbootbroombslibcachemcarcarDatacheckmatechinese.misccliclustercolorspacecommonmarkcorpcorcorrplotcowplotcpp11crayoncrosstalkcurldata.tabledendextendDerivdigestdoBydplyrDTellipseemmeansestimabilityevaluatefactoextraFactoMineRfansifarverfastmapfastmatchfdrtoolflashClustfloatfontawesomeforeignFormulafsgenericsggplot2ggpubrggrepelggsciggsignifglassogluegmpGPArotationgridExtragtablegtoolshighcharterhighrHmischtmlTablehtmltoolshtmlwidgetshttpuvhttrigraphisobandISOcodesjiebaRjiebaRDjpegjquerylibjsonliteknitrlabelinglaterlatticelavaanlazyevalldatuningleapslgrlifecyclelme4lubridatemagrittrMASSMatrixMatrixExtraMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamlapimnormtmodelrmodeltoolsmultcompViewmunsellmvtnormnlmenloptrNLPnnetnumDerivopensslpbapplypbivnormpbkrtestpillarpkgconfigplyrpngpolynompromisespsychpurrrqgraphquadprogquantedaquantmodquantregR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppProgressreshape2RhpcBLASctlrjsonrlangrlistrmarkdownRmpfrrpartrsparseRSpectrarstatixrstudioapirvestsassscalesscatterplot3dselectrshinyshinyalertshinyBSshinybusyshinycssloadersshinydashboardshinyjsshinyWidgetsslamSnowballCsourcetoolsSparseMstopwordsstringistringrsurvivalsystext2vectextmineRtextplottibbletidyrtidyselecttimechangetinytextmtopicmodelsTTRutf8uuidvctrsviridisviridisLitewithrxfunXMLxml2xtablextsyamlzoo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Pearson Correlation for Sparse Matrices | dtmcorr |
Remove terms from a Document-Term-Matrix and documents with no terms based on the term frequency inverse document frequency | dtmremovetfidf |
Term Frequency - Inverse Document Frequency calculation | dtmtfidf |
GHBiplot | GHBiplot |
HJBiplot | HJBiplot |
JKBiplot | JKBiplot |
Plotting Biplot | Plot_Biplot |
Shiny UI for LDABiplots package | runLDABiplots |