Title: Maximum likelihood tree models for oncogenesis
Author: Anja von Heydebreck <anja.von.heydebreck@merck.de>,
contributions from Christiane Heiss <christiane.heiss@web.de>
Maintainer: Anja von Heydebreck <anja.von.heydebreck@merck.de>
Description: Computing probabilistic tree models for oncogenesis based
on genetic data using maximum likelihood.

person("Vincent", "Terrasi", ,"vincent@data-seo.com", c("aut", "cre")),
person("OnCrawl", role = c("cph", "fnd"))
Description: 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).
Get a real full S.E.O report: useful to detect errors on a page and optimise it.
Imports: RCurl (>= 1.8), jsonlite (>= 1.6), dplyr (>= 0.7), xgboost (>=
Suggests: devtools (>= 1.12.0), testthat

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.
formattable (>= 0.2), sparkline (>= 0.2), webshot (>= 0.5),

person("Vincent", "Terrasi", ,"vincent@oncrawl.com", c("aut", "cre")),

Title: Fast, Universal, and Intuitive Computing on Large-Scale
Description: 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.
Imports: readr, methods, magrittr, rhdf5, data.table, Matrix, Rcpp,
Author: Timothy Barry [aut, cre] (<https://orcid.org/0000-0002-4356-627X>),