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: |
0.3.1 |
| 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, flextable, parsnip, recipes, rsample, tune, workflows, forcats, framecleaner, presenter, yardstick, dials, readr, lubridate, party, data.table, FOCI, XICOR, agtboost, nnet, recosystem, doParallel |
| Suggests: |
knitr, rmarkdown, parallel, igraph, moreparty, broom.mixed, hardhat, glmnet, Ckmeans.1d.dp, ggstance, Matrix, BBmisc |
| Published: |
2022-08-19 |
| 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 |