oncrawlR: Machine Learning for S.E.O (original) (raw)
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: | 2020-01-31 |
| DOI: | 10.32614/CRAN.package.oncrawlR |
| Author: | Vincent Terrasi [aut, cre], OnCrawl [cph, fnd] |
| Maintainer: | Vincent Terrasi |
| License: | MIT + file |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | oncrawlR results |
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