Package: autostats 0.4.2

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:Harrison Tietze [aut, cre]

autostats_0.4.2.tar.gz
autostats_0.4.2.zip(r-4.7)autostats_0.4.2.zip(r-4.6)autostats_0.4.2.zip(r-4.5)
autostats_0.4.2.tgz(r-4.6-any)autostats_0.4.2.tgz(r-4.5-any)
autostats_0.4.2.tar.gz(r-4.7-any)autostats_0.4.2.tar.gz(r-4.6-any)
autostats_0.4.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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

Pkgdown/docs site:https://harrison4192.github.io

On CRAN:

Conda:

6.10 score 7 stars 2 packages 8 scripts 302 downloads 23 exports 186 dependencies

Last updated from:84863ed349. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE184
source / vignettesOK264
linux-release-x86_64NOTE182
macos-release-arm64NOTE118
macos-oldrel-arm64NOTE90
windows-develNOTE109
windows-releaseNOTE164
windows-oldrelNOTE128
wasm-releaseOK172

Exports:%>%auto_anovaauto_boxplotauto_corauto_model_accuracyauto_t_testauto_tune_xgboostauto_variable_contributionscap_outlierscreate_monotone_constraintseval_predsf_charvec_to_formulaf_formula_to_charvecf_modify_formulaimpute_recosystemtidy_cforesttidy_ctreetidy_formulatidy_glmtidy_predicttidy_shaptidy_xgboostvisualize_model

Dependencies:abindaskpassbackportsbase64encberryFunctionsbitbit64broombroom.mixedbslibcachemcellrangerCkmeans.1d.dpclassclicliprclockclustercodacodetoolscoincolorspacecpp11crayoncurldata.tablediagramdialsDiceDesigndigestdplyrevaluatefarverfastDummiesfastmapflextablefloatfontawesomefontBitstreamVerafontLiberationfontquiverforcatsforeignformattableframecleanerfsfurrrfuturefuture.applyGauProgdtoolsgenericsggeasyggplot2ggthemesglobalsgluegowergtablegtoolshardhathavenhighrhmshtmltoolshtmlwidgetsigraphipredisobandjanitorjquerylibjsonlitejtoolsKernSmoothknitrlabelinglatticelavalbfgslibcoinlifecyclelistenvlubridatemagrittrMASSMatrixmatrixStatsmemoisemimemixoptmodelenvmodeltoolsmultcompmvtnormnlmennetnumDerivofficeropensslopenxlsxpanderparallellyparsnippartypatchworkpillarpkgconfigpresenterprettyunitsprodlimprogressprogressrpurrrR.methodsS3R.ooR.utilsR6raggrandomcoloRrappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppProgressRdpackreadrreadxlrecipesrecosystemrematchriorlangrlistrmarkdownrpartrsamplerstudioapiRtsnervgS7sandwichsassscalessfdshapeslidersnakecasesparsevctrssplitfngrSQUAREMstringistringrstrucchangesurvivalsyssystemfontstailortextshapingTH.datatibbletidyrtidyselecttimechangetimeDatetinytextunetzdbutf8uuidV8vctrsviridisLitevroomwarpwithrworkflowswritexlxfunxgboostXMLxml2yamlyardstickzipzoo

autostats

Rendered fromautostats.Rmdusingknitr::rmarkdownon Jun 01 2026.

Last update: 2026-02-25
Started: 2021-10-28

tidy xgboost

Rendered fromtidyXgboost.Rmdusingknitr::rmarkdownon Jun 01 2026.

Last update: 2026-02-26
Started: 2022-11-07

Readme and manuals

Help Manual

Help pageTopics
auto anovaauto_anova
auto_boxplotauto_boxplot
auto correlationauto_cor
auto model accuracyauto_model_accuracy
auto t testauto_t_test
auto_tune_xgboostauto_tune_xgboost
Plot Variable Contributionsauto_variable_contributions
cap_outlierscap_outliers
create monotone constraintscreate_monotone_constraints
eval_predseval_preds
charvec to formulaf_charvec_to_formula
Formula_rhs to chr vecf_formula_to_charvec
Modify Formulaf_modify_formula
impute_recosystemimpute_recosystem
tidy conditional inference foresttidy_cforest
tidy ctreetidy_ctree
tidy formula constructiontidy_formula
tidy glmtidy_glm
tidy predicttidy_predict tidy_predict.BinaryTree tidy_predict.default tidy_predict.glm tidy_predict.lgb.Booster tidy_predict.Rcpp_ENSEMBLE tidy_predict.xgb.Booster
tidy shaptidy_shap
tidy xgboosttidy_xgboost
visualize modelvisualize_model visualize_model.BinaryTree visualize_model.default visualize_model.glm visualize_model.multinom visualize_model.RandomForest visualize_model.xgb.Booster