Package: regressoR 4.0.3
Oldemar Rodriguez
regressoR: Regression Data Analysis System
Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as linear regression, penalized regression, k-nearest neighbors, decision trees, ada boosting, extreme gradient boosting, random forest, neural networks, deep learning and support vector machines.
Authors:
regressoR_4.0.3.tar.gz
regressoR_4.0.3.tar.gz(r-4.5-noble)regressoR_4.0.3.tar.gz(r-4.4-noble)
regressoR_4.0.3.tgz(r-4.4-emscripten)regressoR_4.0.3.tgz(r-4.3-emscripten)
regressoR.pdf |regressoR.html✨
regressoR/json (API)
NEWS
| # Install 'regressoR' in R: |
| install.packages('regressoR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/promidat/predictor/issues
Last updated 1 months agofrom:df750b6157. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 25 2024 |
| R-4.5-linux | OK | Nov 25 2024 |
Exports:as_string_ce_boost_evol_errore_boost_importancee_coeff_lambdae_JSe_posib_lambdae_rf_errore_rndf_importancee.rdim.rmsee.rdim.vareexeextract_codegeneral.indicesplot_real_predictionrun_appsummary_indices
Dependencies:adaadabagattemptbackportsbase64encbitopsbroombslibcachemcaretcaToolscellrangerclasscliclockcodetoolscolorspacecolourpickercommonmarkconfigConsRankcorrplotcountrycodecpp11crayoncrosstalkdata.tableDerivdiagramdigestdoParalleldplyrDTe1071echarts4revaluatefansifarverfastmapfontawesomeforeachfreshfsfuturefuture.applygbmgenericsggplot2glmnetglobalsgluegolemgowerGPArotationgplotsgtablegtoolshardhatherehighrhmshtmltoolshtmlwidgetshttpuvigraphipredisobanditeratorsjquerylibjsonliteKernSmoothkknnknitrlabelinglaterlatticelavalazyevallifecyclelistenvloadeRlubridatemagrittrMASSMatrixmemoisemgcvmimeminiUImnormtModelMetricsmunsellneuralnetnlmennetnumDerivparallellypillarpkgconfigplsplyrprettyunitspROCprodlimprogressprogressrpromisesproxypsychpurrrR6randomForestrappdirsRColorBrewerRcppRcppEigenreadxlrecipesrematchreshape2rglrlangrlistrmarkdownROCRrpartrpart.plotrprojrootrstudioapisassscalesshapeshinyshinyAceshinycustomloadershinydashboardshinydashboardPlusshinyjssourcetoolsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetinytextraineRtzdbutf8vctrsviridisLitewaiterwithrwritexlxfunxgboostXMLxtableyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| as_string_c | as_string_c |
| Error Evolution | e_boost_evol_error |
| Var importance Adabag | e_boost_importance |
| Coefficients and lambda | e_coeff_lambda |
| Eval character vectors to JS code | e_JS |
| Possible lambda | e_posib_lambda |
| Error Evolution | e_rf_error |
| Var importance Random Forest | e_rndf_importance |
| e.rdim.rmse | e.rdim.rmse |
| plot_pred_rd | e.rdim.vare |
| exe | exe |
| extract_code | extract_code |
| general.indices | general.indices |
| plot_real_prediction | plot_real_prediction |
| Regression Data Analysis System | regressoR-package regressoR |
| Run the Shiny Application | run_app |
| summary_indices | summary_indices |