Here's how MC-STAN.ORG makes money* and how much!

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MC-STAN . ORG {}

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Mc-stan.org Make Money
  6. Keywords
  7. Topics
  8. Questions
  9. Social Networks
  10. External Links
  11. Libraries
  12. Hosting Providers
  13. CDN Services

We are analyzing https://mc-stan.org/rstantools/reference/posterior_linpred.html.

Title:
Generic function for accessing the posterior distribution of the linear predictor — posterior_linpred • rstantools
Description:
Extract the posterior draws of the linear predictor, possibly transformed by the inverse-link function. See posterior_linpred.stanreg() in the rstanarm package for an example.
Website Age:
12 years and 10 months (reg. 2012-08-15).

Matching Content Categories {📚}

  • Shopping
  • Video & Online Content
  • Business & Finance

Content Management System {📝}

What CMS is mc-stan.org built with?

Custom-built

No common CMS systems were detected on Mc-stan.org, but we identified it was custom coded using Bootstrap (CSS).

Traffic Estimate {📈}

What is the average monthly size of mc-stan.org audience?

🚄 Respectable Traffic: 10k - 20k visitors per month


Based on our best estimate, this website will receive around 10,019 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 Mc-stan.org Make Money? {💸}

We see no obvious way the site makes money.

Many websites are intended to earn money, but some serve to share ideas or build connections. Websites exist for all kinds of purposes. This might be one of them. Mc-stan.org might be cashing in, but we can't detect the method they're using.

Keywords {🔍}

package, linear, predictor, rstanarm, methods, function, posterior, distribution, arguments, examples, rstantools, vignettes, packages, stan, draws, transformed, inverselink, transform, false, object, number, functions, news, generic, accessing, source, rposteriorlinpredr, extract, possibly, posteriorlinpredstanreg, posteriorlinpredobject, default, case, untransformed, returned, passed, posteriorlinpred, return, matrix, data, points, mcstanorgrstanarm, cran, github, guidelines, recommendations, developers, interfacing, demonstration, simple,

Topics {✒️}

inverse-link function linear predictor source untransformed linear predictor simple package working posterior distribution distribution org/rstantools/articles posterior distribution linear predictor packages interfacing vignettes included org/rstanarm mc-stan arguments passed data points contents arguments jonah gabry ben goodrich martin lysy andrew johnson site built posterior draws rstanarm package possibly transformed arguments object examples developed transform = false stan package = rstanarm rstantools 2 rstantools transform transformed false draws object examples accessing /posterior_linpred extract posterior_linpred stanreg default case returned methods return matrix number cran

Questions {❓}

  • Should the linear predictor be transformed using the inverse-link function?

Social Networks {👍}(1)

Libraries {📚}

  • Bootstrap
  • Clipboard.js
  • jQuery

Emails and Hosting {✉️}

Mail Servers:

  • ASPMX.L.GOOGLE.COM
  • ALT1.ASPMX.L.GOOGLE.COM
  • ALT2.ASPMX.L.GOOGLE.COM
  • ALT3.ASPMX.L.GOOGLE.COM
  • ALT4.ASPMX.L.GOOGLE.COM

Name Servers:

  • NS5.PAIRNIC.COM
  • NS6.PAIRNIC.COM

CDN Services {📦}

  • Cloudflare

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