Lean Analytics and Robust Exploration Sidekick [R package lares version 5.3.2]

Bernardo Lares

lares: Lean Analytics and Robust Exploration 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: 5.3.2

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年08月18日

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:

Reference manual: lares.html , lares.pdf

Downloads:

Package source: lares_5.3.2.tar.gz

Windows binaries: r-devel: lares_5.3.2.zip, r-release: lares_5.3.2.zip, r-oldrel: lares_5.3.2.zip

macOS binaries: r-release (arm64): lares_5.3.2.tgz, r-oldrel (arm64): lares_5.3.2.tgz, r-release (x86_64): lares_5.3.2.tgz, r-oldrel (x86_64): lares_5.3.2.tgz

Old sources: lares archive

Reverse dependencies:

Reverse imports: climodr, Robyn

Reverse suggests: lareshiny

Linking:

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