CRAN . RSTUDIO . COM {}

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CMS
Monthly Traffic Estimate
How Does Cran.rstudio.com Make Money
Keywords
Topics
External Links

We are analyzing https://cran.rstudio.com/web/packages/mice/index.html.

Title:
CRAN: Package mice
Description:
Multiple imputation using Fully Conditional Specification (FCS) implemented by the MICE algorithm as described in Van Buuren and Groothuis-Oudshoorn (2011) <<a href="https://doi.org/10.18637%2Fjss.v045.i03" target="_top">doi:10.18637/jss.v045.i03</a>>. Each variable has its own imputation model. Built-in imputation models are provided for continuous data (predictive mean matching, normal), binary data (logistic regression), unordered categorical data (polytomous logistic regression) and ordered categorical data (proportional odds). MICE can also impute continuous two-level data (normal model, pan, second-level variables). Passive imputation can be used to maintain consistency between variables. Various diagnostic plots are available to inspect the quality of the imputations.
Website Age:
27 years and 1 months (reg. 1998-05-15).

Matching Content Categories {📚}

Technology & Computing
Social Networks
Education

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.
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How Does Cran.rstudio.com Make Money? {💸}

We don’t know how the website earns money.

Websites don't always need to be profitable; some serve as platforms for education or personal expression. Websites can serve multiple purposes. And this might be one of them. Cran.rstudio.com could have a money-making trick up its sleeve, but it's undetectable for now.

Keywords {🔍}

ctb, mice, imputation, data, reverse, van, micetgz, buuren, gpl, micezip, rrelease, roldrel, groothuisoudshoorn, model, continuous, normal, logistic, regression, categorical, pan, variables, depends, imports, mitml, rcpp, suggests, miceadds, stef, aut, citation, binaries, arm, multivariate, chained, equations, multiple, fully, conditional, specification, fcs, implemented, algorithm, doijssvi, variable, builtin, models, provided, predictive, matching, binary,

Topics {✒️}

margarita moreno-betancur [ctb] vincent arel-bundock [ctb] karin groothuis-oudshoorn [aut] /amices/mice/issues license gerko vink [ctb] rianne schouten [ctb] alexander robitzsch [ctb] patrick rockenschaub [ctb] lisa doove [ctb] shahab jolani [ctb] ian white [ctb] philipp gaffert [ctb] florian meinfelder [ctb] bernie gray [ctb] mingyang cai [ctb] thom volker [ctb] edoardo costantini [ctb] hanne oberman [ctb] fully conditional specification gz windows binaries tidysem reverse enhances weights reverse suggests mice results documentation unordered categorical data ordered categorical data polytomous logistic regression testdataimputation reverse imports mixedmodels cran checks zip macos binaries canonical form https org/package=mice van buuren groothuis-oudshoorn logistic regression org/mice/ /amices/mice reverse depends mice algorithm mice author multivariate imputation imputation model imputation models continuous data binary data level data passive imputation proportional odds impute continuous maintain consistency diagnostic plots

External Links {🔗}(14)

2.11s.