Machine Learning for S.E.O [R package oncrawlR version 0.2.0]

Vincent Terrasi

oncrawlR: Machine Learning for S.E.O

Measures different aspects of page content, structure and performance for SEO (Search Engine Optimization). Aspects covered include HTML tags used in SEO, duplicate and near-duplicate content, structured data, on-site linking structure and popularity transfer, and many other amazing things. This package can be used to generate a real, full SEO audit report, which serves to detect errors or inefficiencies on a page that can be corrected in order to optimise its performance on search engines.

Version: 0.2.0

Depends: R (≥ 3.4.0)

Imports: RCurl (≥ 1.8), jsonlite (≥ 1.6), dplyr (≥ 0.7), xgboost (≥ 0.8), pROC (≥ 1.1), ggplot2 (≥ 3.1), caret (≥ 6.0), DALEX (≥ 0.3), rlist (≥ 0.4.6), readr (≥ 1.3), rlang (≥ 0.3), formattable (≥ 0.2), sparkline (≥ 0.2), webshot (≥ 0.5), e1071 (≥ 1.7), pdp (≥ 0.7), fs (≥ 1.3), scales (≥ 1.0.0), tidyr (≥ 0.8.2), htmltools (≥ 0.3.5), rjson (≥ 0.2.20)

Suggests: devtools (≥ 1.12.0), testthat

Published: 2020年01月31日

DOI: 10.32614/CRAN.package.oncrawlR

Author: Vincent Terrasi [aut, cre], OnCrawl [cph, fnd]

Maintainer: Vincent Terrasi <vincent at oncrawl.com>

License: MIT + file LICENSE

NeedsCompilation: no

Materials: README

CRAN checks: oncrawlR results