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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, MMM, 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: | 5.2.9 |
| Depends: | R (≥ 3.5.0) |
| Imports: | dplyr (≥ 1.0.0), ggplot2, httr, jsonlite, lubridate, openxlsx, patchwork, pROC, rlang, rpart, rpart.plot, rvest, stringr, tidyr (≥ 1.0.0), yaml |
| Suggests: | beepr, DALEX, googleAuthR, googlesheets4, h2o, knitr, quantmod, rmarkdown |
| Published: | 2024-09-12 |
| 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 |
| Reference manual: | lares.pdf |
| Package source: | lares_5.2.9.tar.gz |
| Windows binaries: | r-devel: lares_5.2.9.zip, r-release: lares_5.2.9.zip, r-oldrel: lares_5.2.9.zip |
| macOS binaries: | r-release (arm64): lares_5.2.9.tgz, r-oldrel (arm64): lares_5.2.9.tgz, r-release (x86_64): lares_5.2.9.tgz, r-oldrel (x86_64): lares_5.2.9.tgz |
| Old sources: | lares archive |
| Reverse imports: | Robyn |
| Reverse suggests: | lareshiny |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.