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.
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Description file content
- Package
- oncrawlR
- Type
- Package
- Title
- Machine Learning for S.E.O
- Version
- 0.1.8
- Maintainer
- Vincent Terrasi
- Description
- 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.
- License
- MIT + file LICENSE
- Encoding
- UTF-8
- LazyData
- true
- 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)
- Suggests
- devtools (>= 1.12.0), testthat
- RoxygenNote
- 6.1.1
- NeedsCompilation
- no
- Packaged
- 2019-11-16 14:40:02 UTC; vincent
- Author
- Vincent Terrasi [aut, cre], OnCrawl [cph, fnd]
- Repository
- CRAN
- Date/Publication
- 2019-11-18 16:40:02 UTC
install.packages('oncrawlR')
0.1.8
27 days ago
Vincent Terrasi
MIT + file LICENSE
Depends on
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)