Package: lares
Type: Package
Title: Analytics, Data Mining & Machine Learning Sidekick
Version: 5.0.3
Authors@R: c(
    person("Bernardo", "Lares", , "laresbernardo@gmail.com", c("aut", "cre")))
Maintainer: Bernardo Lares <laresbernardo@gmail.com>
Description: 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, and Scrapper, it helps the analyst or data scientist to get quick and robust
    results, without the need of repetitive coding or extensive programming skills.
Depends: R (>= 3.5)
Imports: dplyr, ggplot2, h2o, httr, jsonlite, lubridate, magrittr,
        openxlsx, patchwork, pROC, rlang, rpart, rpart.plot, rvest,
        stringr, tidyr, yaml
Suggests: beepr, DALEX, DBI, forecast, googleAuthR, googlesheets4,
        knitr, quantmod, plotly, rdrop2, rmarkdown, rtweet, tm,
        wordcloud
URL: https://github.com/laresbernardo/lares,
        https://laresbernardo.github.io/lares/
BugReports: https://github.com/laresbernardo/lares/issues
VignetteBuilder: knitr
RoxygenNote: 7.1.2
License: AGPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2021-11-16 05:13:48 UTC; bernardolares
Author: Bernardo Lares [aut, cre]
Repository: CRAN
Date/Publication: 2021-11-16 08:10:02 UTC
