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:	2025-08-18
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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