Package: predictoR 3.0.5

Oldemar Rodriguez

predictoR: Predictive Data Analysis System

Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as K-Nearest Neighbors, Decision Trees, ADA Boosting, Extreme Gradient Boosting, Random Forest, Neural Networks, Deep Learning, Support Vector Machines and Bayesian Methods.

Authors:Oldemar Rodriguez [aut, cre], Diego Jiménez [ctb, prg]

predictoR_3.0.5.tar.gz
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predictoR_3.0.5.tgz(r-4.4-any)predictoR_3.0.5.tgz(r-4.3-any)
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predictoR.pdf |predictoR.html✨
predictoR/json (API)

Peer review:

Bug tracker:https://github.com/promidat/predictor/issues

On CRAN:

6 exports 1 stars 1.32 score 158 dependencies 3 scripts 1.1k downloads

Last updated 10 months agofrom:e3bef544bb. Checks:OK: 3 NOTE: 4. Indexed: yes.

Exports:e_coeff_landae_global_gaugee_JSe_posib_lambdae_rf_errorrun_app

Dependencies:adaadabagattemptbackportsbase64encbitopsbroombslibcachemcaretcaToolscellrangerclasscliclockcodetoolscolorspacecolourpickercommonmarkconfigConsRankcorrplotcountrycodecpp11crayoncrosstalkdata.tableDerivdiagramdigestdoParalleldplyrDTe1071echarts4revaluatefansifarverfastmapfontawesomeforeachfreshfsfuturefuture.applygbmgenericsggplot2glmnetglobalsgluegolemgowergplotsgtablegtoolshardhatherehighrhmshtmltoolshtmlwidgetshttpuvigraphipredisobanditeratorsjquerylibjsonliteKernSmoothkknnknitrlabelinglaterlatticelavalazyevallifecyclelistenvloadeRlubridatemagrittrMASSMatrixmemoisemgcvmimeminiUIModelMetricsmunsellneuralnetnlmennetnumDerivparallellypillarpkgconfigplyrprettyunitspROCprodlimprogressprogressrpromisesproxypurrrR6randomForestrappdirsRColorBrewerRcppRcppEigenreadxlrecipesrematchreshape2rglrlangrlistrmarkdownROCRrpartrpart.plotrprojrootrstudioapisassscalesshapeshinyshinyAceshinycustomloadershinydashboardshinydashboardPlusshinyjssourcetoolsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetinytextraineRtzdbutf8vctrsviridisLitewaiterwithrwritexlxfunxgboostXMLxtableyaml