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,
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: |
5.2.10 |
| 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: |
2024-12-13 |
| 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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