Here's how CRAN.RSTUDIO.COM makes money* and how much!

*Please read our disclaimer before using our estimates.
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CRAN . RSTUDIO . COM {}

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Cran.rstudio.com Make Money
  6. Keywords
  7. Topics
  8. External Links

We are analyzing https://cran.rstudio.com/web/packages/rstan/index.html.

Title:
CRAN: Package rstan
Description:
User-facing R functions are provided to parse, compile, test, estimate, and analyze Stan models by accessing the header-only Stan library provided by the
Website Age:
27 years and 1 months (reg. 1998-05-15).

Matching Content Categories {📚}

  • Technology & Computing
  • Games
  • Automotive

Content Management System {📝}

What CMS is cran.rstudio.com built with?

Custom-built

No common CMS systems were detected on Cran.rstudio.com, and no known web development framework was identified.

Traffic Estimate {📈}

What is the average monthly size of cran.rstudio.com audience?

🚀 Good Traffic: 50k - 100k visitors per month


Based on our best estimate, this website will receive around 50,019 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.rstudio.com Make Money? {💸}

The income method remains a mystery to us.

Not all websites are made for profit; some exist to inform or educate users. Or any other reason why people make websites. And this might be the case. Cran.rstudio.com has a revenue plan, but it's either invisible or we haven't found it.

Keywords {🔍}

cph, aut, reverse, rstan, source, code, stan, stanheaders, bayesian, ctb, gammahpp, rstantgz, rstanzip, rrelease, roldrel, provided, package, inference, depends, imports, rcpp, rcppparallel, loo, suggests, shinystan, bayesplot, rstantools, ben, goodrich, rpairsr, citation, binaries, arm, basicstan, bayesianplatformdesigntimetrend, madpop, ppcseq, tmbstan, walker, aovbay, baggr, bakr, baldur, bayespsy, bayesdfa, bayesforecast, bayesgmed, bayesgrowth, bayeslist, bayessenmc,

Topics {✒️}

/stan-dev/rstan/issues/ license jens oehlschlaegel-akiyoshi [cph] rough bayesian inference daniel lee [ctb] krzysztof sakrejda [ctb] modrak martin [ctb] oleg sklyar [cph] core team [cph] john maddock [cph] paul bristow [cph] nikhar agrawal [cph] christopher kormanyos [cph] analyze stan models probabilistic programming language maximum likelihood estimation accurately evaluate gradients simulation based calibration gz windows binaries unifed reverse enhances rstan results documentation stan project develops jiqiang guo [aut] jonah gabry [aut] andrew johnson [aut] sebastian weber [aut] zoid reverse linking ben goodrich [cre columbia university [cph] stan user-facing stan library provided zoid reverse suggests mixedmodels cran checks zip macos binaries canonical form https walker reverse imports org/package=rstan //mc-stan mc-stan pandoc citation org/rstan/ rstan author badr [aut] reverse depends mrregression linking r-project org needscompilation 'variational' approximation optionally penalized automatic differentiation partial derivatives

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