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/lbfgs/index.html.

Title:
CRAN: Package lbfgs
Description:
A wrapper built around the libLBFGS optimization library by Naoaki Okazaki. The lbfgs package implements both the Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) and the Orthant-Wise Quasi-Newton Limited-Memory (OWL-QN) optimization algorithms. The L-BFGS algorithm solves the problem of minimizing an objective, given its gradient, by iteratively computing approximations of the inverse Hessian matrix. The OWL-QN algorithm finds the optimum of an objective plus the L1-norm of the problem
Website Age:
27 years and 1 months (reg. 1998-05-15).

Matching Content Categories {📚}

  • Technology & Computing
  • Virtual Reality
  • Games

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? {💸}

We can't tell how the site generates income.

While many websites aim to make money, others are created to share knowledge or showcase creativity. People build websites for various reasons. This could be one of them. Cran.rstudio.com could be getting rich in stealth mode, or the way it's monetizing isn't detectable.

Keywords {🔍}

cph, lbfgs, optimization, limitedmemory, package, ctb, lbfgstgz, reverse, aut, gpl, lbfgszip, rrelease, roldrel, bfgs, naoaki, okazaki, owlqn, algorithm, objective, problems, imports, rcpp, antonio, coppola, binaries, arm, wrapper, built, liblbfgs, library, implements, broydenfletchergoldfarbshanno, orthantwise, quasinewton, algorithms, solves, problem, minimizing, gradient, iteratively, computing, approximations, inverse, hessian, matrix, finds, optimum, lnorm, parameters, offers,

Topics {✒️}

limited-memory broyden-fletcher-goldfarb-shanno orthant-wise quasi-newton limited-memory limited-memory bfgs optimization l-bfgs algorithm solves owl-qn algorithm finds memory-efficient implementation liblbfgs optimization library iteratively computing approximations inverse hessian matrix high-dimensional problems antonio coppola [aut brandon stewart [aut david ardia [ctb dirk eddelbuettel [ctb katharine mullen [ctb jorge nocedal [ctb gz windows binaries xtune reverse suggests canonical form https lbfgs results documentation naoaki okazaki [aut hiersdr reverse imports optimization cran checks zip macos binaries lbfgs package implements org/package=lbfgs l-bfgs owl-qn optimization algorithms optimization routines naoaki okazaki reverse depends lbfgs author wrapper built l1-norm package offers methods linkingto reference manual pdf vignettes package source r-devel r-release r-oldrel r-project rcpp published optimx linking gpl-3 [expanded cph] maintainer lbfgs 2 imports

External Links {🔗}(4)

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