lares: Analytics & Machine Learning 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,
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 |
Documentation:
Downloads:
Reverse dependencies:
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