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. External Links

We are analyzing https://cran.r-project.org/web/packages/spatialreg/index.html.

Title:
CRAN: Package spatialreg
Description:
A collection of all the estimation functions for spatial cross-sectional models (on lattice/areal data using spatial weights matrices) contained up to now in
Website Age:
25 years and 8 months (reg. 1999-10-27).

Matching Content Categories {📚}

  • Virtual Reality
  • Social Networks
  • Education

Content Management System {📝}

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

Custom-built

No common CMS systems were detected on Cran.r-project.org, and no known web development framework was identified.

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 don't see any clear sign of profit-making.

Earning money isn't the goal of every website; some are designed to offer support or promote social causes. People have different reasons for creating websites. This might be one such reason. Cran.r-project.org might be plotting its profit, but the way they're doing it isn't detectable yet.

Keywords {🔍}

ctb, spatial, spatialreg, fitting, methods, doi, models, spdep, bivand, reverse, functions, source, spatialregtgz, crosssectional, model, proposed, piras, code, spatialregzip, rrelease, roldrel, regression, data, weights, matrices, include, maximum, likelihood, ord, isbn, initially, anselin, provided, mcmc, lesage, pace, millo, version, depends, spdata, imports, suggests, roger, aut, citation, binaries, arm, analysis, collection, estimation,

Topics {✒️}

/r-spatial/spatialreg/issues/ license cross-sectional models proposed spatial cross-sectional models virgilio gómez-rubio [ctb] pedro peres-neto [ctb] model fitting functions model fitting methods spatial regression analysis lattice/areal data fitting methods initially spatial general method spatial weights objects andrew bernat [ctb] eric blankmeyer [ctb] yongwan chun [ctb] daniel griffith [ctb] martin gubri [ctb] rein halbersma [ctb] angela li [ctb] hongfei li [ctb] jielai ma [ctb] abhirup mallik [ctb tobias rüttenauer [ctb] mauricio sarrias [ctb] juantomas sayago [ctb] log determinant term maximum likelihood gz windows binaries spatial weights matrices ssfa reverse imports spsur reverse suggests luc anselin [ctb] io/spatialreg/ needscompilation spatialreg results documentation james lesage [ctb] giovanni millo [ctb] kelley pace [ctb] /r-spatial/spatialreg/ spatial cran checks zip macos binaries canonical form https org/package=spatialreg spdep reverse enhances add anselin-kelejian gianfranco piras [aut] mcmc fitting //r-spatial estimation functions impact methods sf imports

External Links {🔗}(19)

3.93s.