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.
Version: 0.4.1 Depends: R (≥ 3.5.0) Imports: dplyr, stringr, tidyselect, purrr, janitor, tibble, rlang, stats, rlist, broom, magrittr, ggeasy, ggplot2, jtools, gtools, ggthemes, patchwork, tidyr, xgboost, parsnip, recipes, rsample, tune, workflows, framecleaner, presenter, yardstick, dials, party, data.table, nnet, recosystem, Ckmeans.1d.dp, broom.mixed, igraph Suggests: knitr, rmarkdown, forcats, parallel, doParallel, hardhat, flextable, glmnet, ggstance, Matrix, BBmisc, readr, lubridate, ranger, XICOR Published: 2024-06-04 DOI: 10.32614/CRAN.package.autostats Author: Harrison Tietze [aut, cre] Maintainer: Harrison Tietze <harrison4192 at gmail.com> BugReports: https://github.com/Harrison4192/autostats/issues License: MIT + file LICENSE URL: https://harrison4192.github.io/autostats/, https://github.com/Harrison4192/autostats NeedsCompilation: no Materials: README NEWS CRAN checks: autostats results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=autostats to link to this page.
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