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/nlcv/index.html.

Title:
CRAN: Package nlcv
Description:
Nested loop cross validation for classification purposes for misclassification error rate estimation. The package supports several methodologies for feature selection: random forest, Student t-test, limma, and provides an interface to the following classification methods in the
Website Age:
27 years and 1 months (reg. 1998-05-15).

Matching Content Categories {📚}

  • Video & Online Content
  • Shopping
  • Graphic Design

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 70,899 visitors per month in the current month.

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How Does Cran.rstudio.com 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.rstudio.com could have a money-making trick up its sleeve, but it's undetectable for now.

Keywords {🔍}

nlcv, classification, package, plot, features, nlcvzip, rrelease, roldrel, nlcvtgz, nested, loop, cross, validation, misclassification, rate, random, forest, limma, methods, mlinterfaces, linear, number, doi, suggests, aut, laure, cougnaud, source, binaries, arm, reverse, purposes, error, estimation, supports, methodologies, feature, selection, student, ttest, interface, quadratic, discriminant, analyses, bagging, prediction, analysis, microarray, generalized, model,

Topics {✒️}

student t-test quadratic discriminant analyses support vector machine willem talloen [aut] tobias verbeke [aut] gz windows binaries canonical form https specific classification algorithm classification algorithms tested nlcv results documentation generalized linear model news cran checks zip macos binaries org/package=nlcv misclassification rate reverse suggests classification purposes nlcv author package supports feature selection random forest classification methods prediction analysis markus ruschhaupt wolfgang huber annemarie poustka ulrich mansmann xtable imports kernlab suggests gpl-3 needscompilation reference manual pdf vignettes r-devel r-release r-oldrel a4base linking r-project scores plot roc plot 'mlinterfaces' package package source cougnaud nlcv linear package plot 32614/cran zip //cran mlinterfaces

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