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:Luis Pilacuan-Bonete [cre, aut], Purificacion Galindo-Villardón [aut], Javier De La Hoz Maestre [aut], Francisco Javier Delgado-Álvarez [aut]

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'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.00 score 4 scripts 146 downloads 8 exports 194 dependencies

Last updated 2 years agofrom:9506b83a5b. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-winNOTEOct 31 2024
R-4.5-linuxNOTEOct 31 2024
R-4.4-winNOTEOct 31 2024
R-4.4-macNOTEOct 31 2024
R-4.3-winNOTEOct 31 2024
R-4.3-macNOTEOct 31 2024

Exports:dtmcorrdtmremovetfidfdtmtfidfGHBiplotHJBiplotJKBiplotPlot_BiplotrunLDABiplots

Dependencies:abindaskpassassertthatbackportsbase64encBHbootbroombslibcachemcarcarDatacheckmatechinese.misccliclustercolorspacecommonmarkcorpcorcorrplotcowplotcpp11crayoncrosstalkcurldata.tabledendextendDerivdigestdoBydplyrDTellipseemmeansestimabilityevaluatefactoextraFactoMineRfansifarverfastmapfastmatchfdrtoolflashClustfloatfontawesomeforeignFormulafsgenericsggplot2ggpubrggrepelggsciggsignifglassogluegmpGPArotationgridExtragtablegtoolshighcharterhighrHmischtmlTablehtmltoolshtmlwidgetshttpuvhttrigraphisobandISOcodesjiebaRjiebaRDjpegjquerylibjsonliteknitrlabelinglaterlatticelavaanlazyevalldatuningleapslgrlifecyclelme4lubridatemagrittrMASSMatrixMatrixExtraMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamlapimnormtmodelrmodeltoolsmultcompViewmunsellmvtnormnlmenloptrNLPnnetnumDerivopensslpbapplypbivnormpbkrtestpillarpkgconfigplyrpngpolynompromisespsychpurrrqgraphquadprogquantedaquantmodquantregR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppProgressreshape2RhpcBLASctlrjsonrlangrlistrmarkdownRmpfrrpartrsparseRSpectrarstatixrstudioapirvestsassscalesscatterplot3dselectrshinyshinyalertshinyBSshinybusyshinycssloadersshinydashboardshinyjsshinyWidgetsslamSnowballCsourcetoolsSparseMstopwordsstringistringrsurvivalsystext2vectextmineRtextplottibbletidyrtidyselecttimechangetinytextmtopicmodelsTTRutf8uuidvctrsviridisviridisLitewithrxfunXMLxml2xtablextsyamlzoo

Tutorial LDABiplots

Rendered fromTutorial_LDABiplots_English.Rmdusingknitr::rmarkdownon Oct 31 2024.

Last update: 2022-07-18
Started: 2022-07-18

Tutorial LDABiplots

Rendered fromTutorial_LDABiplots_Spanish.Rmdusingknitr::rmarkdownon Oct 31 2024.

Last update: 2022-07-18
Started: 2022-07-18