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: 5.3.1 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: 2025-07-04 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 NEWS 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.
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