Here's how CRAN.R-PROJECT.ORG makes money* and how much!

*Please read our disclaimer before using our estimates.
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CRAN . R-PROJECT . ORG {}

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Cran.r-project.org Make Money
  6. Keywords
  7. Topics
  8. Questions
  9. External Links
  10. Libraries

We are analyzing https://cran.r-project.org/web/packages/neat/vignettes/neat.html.

Title:
An introduction to the R package neat
Description:
No description found...
Website Age:
25 years and 8 months (reg. 1999-10-27).

Matching Content Categories {📚}

  • TV
  • Education
  • Careers

Content Management System {📝}

What CMS is cran.r-project.org built with?

Website use pandoc.

Traffic Estimate {📈}

What is the average monthly size of cran.r-project.org audience?

💥 Very Strong Traffic: 200k - 500k visitors per month


Based on our best estimate, this website will receive around 250,019 visitors per month in the current month.
However, some sources were not loaded, we suggest to reload the page to get complete results.

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How Does Cran.r-project.org Make Money? {💸}

We can't tell how the site generates income.

Not all websites focus on profit; some are designed to educate, connect people, or share useful tools. People create websites for numerous reasons. And this could be one such example. Cran.r-project.org could be getting rich in stealth mode, or the way it's monetizing isn't detectable.

Keywords {🔍}

set, network, enrichment, test, gene, analysis, neat, sets, genes, blist, nodes, directed, package, nettype, esr, labels, results, lists, lets, matrix, alist, computation, links, alpha, mtctype, data, response, neatalist, conclusion, introduction, whats, formats, details, tests, function, yeast, differentially, expressed, functional, starvation, expect, number, null, undirected, fdr, printtest, nab, expectednab, pvalue, adjustedp,

Topics {✒️}

alternative network formats target gene set multiple testing corrections �network” enrichment analysis network enrichment analysis functional gene sets multiple testing correction differentially expressed genes gene enrichment tests alternative formats partially directed network induced esr genes integrate gea tests sparse adjacency matrix network = yeast$yeastnet functional_sets = yeast$goslimproc[ argument nettype equal mixed networks nodes = yeast$ynetgenes gene network gene sets functional sets multiple correction gene ontologies functional couplings network incorporating test analysis compute 7 sparse matrix called functional_sets type = 'fdr' fdr correction gene dependences gea tests adjacency matrix undirected network loading yeast yeast$esr2 yeast$goslimproc yeast$ynetgenes yeast cell material introduction bmc bioinformatics ignore associations loosely speaking call induced_genes null hypothesis hypergeometric distribution potential evidence blist = functional_sets

Questions {❓}

  • What’s neat?
  • What’s “network” enrichment analysis?
  • Yeast$yeastnet, a two-column matrix that contains YeastNet (a network incorporating known functional couplings between yeast genes, see the help page ?

Libraries {📚}

  • AOS

4.52s.