c(
person("Vincent", "Terrasi", ,"vincent@data-seo.com", c("aut", "cre")),
person("OnCrawl", role = c("cph", "fnd"))
)
Provides valuable informations on the status of any web page by measuring its content (S.E.O tags, duplicate and near duplicate content, structured data, linking and many other amazing things).
S.E.O means Search Engine Optimization.
Get a real full S.E.O report: useful to detect errors on a page and optimise it.
Vincent Terrasi [aut, cre],
OnCrawl [cph, fnd]

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.

c(
person("Vincent", "Terrasi", ,"vincent@oncrawl.com", c("aut", "cre")),
person("OnCrawl", role = c("cph", "fnd"))
)

Fast, Universal, and Intuitive Computing on Large-Scale
Single-Cell Data
c(person(given = "Timothy",
family = "Barry",
role = c("aut", "cre"),
email = "tbarry2@andrew.cmu.edu",
comment = c(ORCID = "0000-0002-4356-627X")),
person(given = "Eugene",
family = "Katsevich",
role = "ths",
comment = c(ORCID = "0000-0003-0598-2050")),
person(given = "Kathryn",
family = "Roeder",
role = "ths"))
Single-cell datasets are growing in size, posing challenges as well as opportunities for biology researchers. 'ondisc' (short for "on-disk single cell") enables users to easily and efficiently analyze large-scale single-cell data. 'ondisc' makes computing on large-scale single-cell data FUN: Fast, Universal, and iNtuitive.
readr, methods, magrittr, rhdf5, data.table, Matrix, Rcpp,
crayon, dplyr
Timothy Barry [aut, cre] (<https://orcid.org/0000-0002-4356-627X>),
Eugene Katsevich [ths] (<https://orcid.org/0000-0003-0598-2050>),
Kathryn Roeder [ths]