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,
Exploratory, API, and Scrapper, it helps the analyst or data scientist to get quick and robust
results, without the need of repetitive coding or extensive R programming skills.
| Version: |
5.1.4 |
| Depends: |
R (≥ 3.5) |
| Imports: |
dplyr, ggplot2, h2o, httr, jsonlite, lubridate, openxlsx, patchwork, pROC, rlang, rpart, rpart.plot, rvest, stringr, tidyr, yaml |
| Suggests: |
beepr, DALEX, googleAuthR, googlesheets4, knitr, quantmod, rdrop2, rmarkdown |
| Published: |
2022-09-08 |
| 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:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=lares
to link to this page.