Package: autostats 0.4.1
autostats: Auto Stats
Automatically do statistical exploration. Create formulas using 'tidyselect' syntax, and then determine cross-validated model accuracy and variable contributions using 'glm' and 'xgboost'. Contains additional helper functions to create and modify formulas. Has a flagship function to quickly determine relationships between categorical and continuous variables in the data set.
Authors:
autostats_0.4.1.tar.gz
autostats_0.4.1.zip(r-4.5)autostats_0.4.1.zip(r-4.4)autostats_0.4.1.zip(r-4.3)
autostats_0.4.1.tgz(r-4.4-any)autostats_0.4.1.tgz(r-4.3-any)
autostats_0.4.1.tar.gz(r-4.5-noble)autostats_0.4.1.tar.gz(r-4.4-noble)
autostats_0.4.1.tgz(r-4.4-emscripten)autostats_0.4.1.tgz(r-4.3-emscripten)
autostats.pdf |autostats.html✨
autostats/json (API)
NEWS
| # Install 'autostats' in R: |
| install.packages('autostats', repos = c('https://harrison4192.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/harrison4192/autostats/issues
Last updated 6 months agofrom:cfc5e4cb48. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 01 2024 |
| R-4.5-win | NOTE | Nov 01 2024 |
| R-4.5-linux | NOTE | Nov 01 2024 |
| R-4.4-win | NOTE | Nov 01 2024 |
| R-4.4-mac | NOTE | Nov 01 2024 |
| R-4.3-win | NOTE | Nov 01 2024 |
| R-4.3-mac | NOTE | Nov 01 2024 |
Exports:%>%auto_anovaauto_boxplotauto_corauto_model_accuracyauto_t_testauto_tune_xgboostauto_variable_contributionscap_outlierscreate_monotone_constraintseval_predsf_charvec_to_formulaf_formula_to_charvecf_modify_formulaget_paramsimpute_recosystemtidy_cforesttidy_ctreetidy_formulatidy_glmtidy_predicttidy_shaptidy_xgboostvisualize_model
Dependencies:abindaskpassbackportsbase64encberryFunctionsbitbit64broombroom.mixedbslibcachemcellrangerCkmeans.1d.dpclassclicliprclockclustercodacodetoolscoincolorspacecpp11crayoncurldata.tablediagramdialsDiceDesigndigestdoFuturedplyrevaluatefansifarverfastDummiesfastmapflextablefloatfontawesomefontBitstreamVerafontLiberationfontquiverforcatsforeachforeignformattableframecleanerfsfurrrfuturefuture.applygdtoolsgenericsggeasyggplot2ggthemesglobalsgluegowerGPfitgtablegtoolshardhathavenhighrhmshtmltoolshtmlwidgetsigraphipredisobanditeratorsjanitorjquerylibjsonlitejtoolsKernSmoothknitrlabelinglatticelavalhslibcoinlifecyclelistenvlubridatemagrittrMASSMatrixmatrixStatsmemoisemgcvmimemodelenvmodeltoolsmultcompmunsellmvtnormnlmennetnumDerivofficeropensslopenxlsxpanderparallellyparsnippartypatchworkpillarpkgconfigpresenterprettyunitsprodlimprogressprogressrpurrrR.methodsS3R.ooR.utilsR6raggrandomcoloRrappdirsrbibutilsRColorBrewerRcppRcppProgressRdpackreadrreadxlrecipesrecosystemrematchriorlangrlistrmarkdownrpartrsamplerstudioapiRtsnervgsandwichsassscalessfdshapeslidersnakecaseSQUAREMstringistringrstrucchangesurvivalsyssystemfontstextshapingTH.datatibbletidyrtidyselecttimechangetimeDatetinytextunetzdbutf8uuidV8vctrsviridisLitevroomwarpwithrworkflowswritexlxfunxgboostXMLxml2yamlyardstickzipzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| auto anova | auto_anova |
| auto_boxplot | auto_boxplot |
| auto correlation | auto_cor |
| auto model accuracy | auto_model_accuracy |
| auto t test | auto_t_test |
| auto_tune_xgboost | auto_tune_xgboost |
| Plot Variable Contributions | auto_variable_contributions |
| cap_outliers | cap_outliers |
| create monotone constraints | create_monotone_constraints |
| eval_preds | eval_preds |
| charvec to formula | f_charvec_to_formula |
| Formula_rhs to chr vec | f_formula_to_charvec |
| Modify Formula | f_modify_formula |
| get params | get_params get_params.workflow get_params.xgb.Booster |
| impute_recosystem | impute_recosystem |
| tidy conditional inference forest | tidy_cforest |
| tidy ctree | tidy_ctree |
| tidy formula construction | tidy_formula |
| tidy glm | tidy_glm |
| tidy predict | tidy_predict tidy_predict.BinaryTree tidy_predict.default tidy_predict.glm tidy_predict.lgb.Booster tidy_predict.Rcpp_ENSEMBLE tidy_predict.xgb.Booster |
| tidy shap | tidy_shap |
| tidy xgboost | tidy_xgboost |
| visualize model | visualize_model visualize_model.BinaryTree visualize_model.default visualize_model.glm visualize_model.multinom visualize_model.RandomForest visualize_model.xgb.Booster |
