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

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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/pcalg/index.html.

Title:
CRAN: Package pcalg
Description:
Functions for causal structure learning and causal inference using graphical models. The main algorithms for causal structure learning are PC (for observational data without hidden variables), FCI and RFCI (for observational data with hidden variables), and GIES (for a mix of data from observational studies (i.e. observational data) and data from experiments involving interventions (i.e. interventional data) without hidden variables). For causal inference the IDA algorithm, the Generalized Backdoor Criterion (GBC), the Generalized Adjustment Criterion (GAC) and some related functions are implemented. Functions for incorporating background knowledge are provided.
Website Age:
27 years and 1 months (reg. 1998-05-15).

Matching Content Categories {📚}

  • Education
  • Technology & Computing
  • Science

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're unsure if the website is profiting.

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 might be plotting its profit, but the way they're doing it isn't detectable yet.

Keywords {🔍}

ctb, data, pcalg, causal, observational, pcalgtgz, reverse, inference, functions, hidden, variables, kalisch, aut, gpl, pcalgzip, rrelease, roldrel, methods, graphical, models, structure, learning, generalized, criterion, depends, imports, rcpp, suggests, markus, citation, package, source, binaries, arm, main, algorithms, fci, rfci, gies, mix, studies, experiments, involving, interventions, interventional, ida, algorithm, backdoor, gbc, adjustment,

Topics {✒️}

diego colombo [ctb] doris entner [ctb] patrik hoyer [ctb] antti hyttinen [ctb] jonas peters [ctb] nicoletta andri [ctb] emilija perkovic [ctb] preetam nandy [ctb] philipp ruetimann [ctb] daniel stekhoven [ctb] manuel schuerch [ctb] marco eigenmann [ctb] leonard henckel [ctb] experiments involving interventions generalized backdoor criterion generalized adjustment criterion incorporating background knowledge markus kalisch [aut alain hauser [aut] martin maechler [aut] gz windows binaries causal structure learning sid reverse suggests pcalg results documentation tpc reverse imports canonical form https graphicalmodels cran checks zip macos binaries org/package=pcalg causal inference bh suggests org/ needscompilation reverse depends pcalg author 'pcalg' package graphical models main algorithms hidden variables observational studies ida algorithm related functions clue linkingto dagitty published r-forge r-project news changelog reference manual pdf vignettes r-devel r-release

External Links {🔗}(10)

2.03s.