lares: Lean Analytics and Robust Exploration Sidekick
Auxiliary package for better/faster analytics, visualization, data mining, and machine
    learning tasks. With a wide variety of family functions, like Machine Learning, Data Wrangling,
    Marketing Mix Modeling (Robyn), Exploratory, API, and Scrapper, it helps the analyst or 
    data scientist to get quick and robust results, without the need of repetitive coding or 
    advanced R programming skills.
| Version: | 5.3.2 | 
| Depends: | R (≥ 3.5.0) | 
| Imports: | dplyr (≥ 1.0.0), ggplot2 (≥ 3.4.0), httr (≥ 1.4.3), jsonlite (≥ 1.8.0), lubridate (≥ 1.7.9), openxlsx (≥
3.5.10), patchwork (≥ 1.3.0), pROC (≥ 1.18.5), rlang (≥
0.6.3), rpart (≥ 4.1.0), rpart.plot (≥ 3.1.0), rvest (≥
1.0.0), stringr (≥ 1.4.2), tidyr (≥ 1.0.0), yaml (≥ 2.2.4) | 
| Suggests: | beepr (≥ 0.1.5), DALEX (≥ 1.0.0), googleAuthR (≥ 1.0.0), googlesheets4 (≥ 1.0.0), h2o (≥ 3.24.0), knitr (≥ 1.31.0), MASS, quantmod (≥ 0.4.20), rmarkdown (≥ 2.7) | 
| Published: | 2025-08-18 | 
| DOI: | 10.32614/CRAN.package.lares | 
| Author: | Bernardo Lares [aut, cre] | 
| Maintainer: | Bernardo Lares  <laresbernardo at gmail.com> | 
| BugReports: | https://github.com/laresbernardo/lares/issues | 
| License: | AGPL-3 | 
| URL: | https://github.com/laresbernardo/lares,
https://laresbernardo.github.io/lares/ | 
| NeedsCompilation: | no | 
| Materials: | README | 
| CRAN checks: | lares results | 
Documentation:
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