Here's how MIRKOSIGNORELLI.GITHUB.IO makes money* and how much!

*Please read our disclaimer before using our estimates.
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MIRKOSIGNORELLI . GITHUB . IO {}

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Mirkosignorelli.github.io Make Money
  6. Keywords
  7. Topics
  8. Social Networks
  9. External Links
  10. Analytics And Tracking
  11. Libraries
  12. CDN Services

We are analyzing https://mirkosignorelli.github.io/r.

Title:
R packages of Mirko Signorelli
Description:
No description found...
Website Age:
12 years and 3 months (reg. 2013-03-08).

Matching Content Categories {πŸ“š}

  • Education
  • Shopping
  • Science

Content Management System {πŸ“}

What CMS is mirkosignorelli.github.io built with?

Website use pandoc.

Traffic Estimate {πŸ“ˆ}

What is the average monthly size of mirkosignorelli.github.io audience?

🚦 Initial Traffic: less than 1k visitors per month


Based on our best estimate, this website will receive around 19 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 Mirkosignorelli.github.io Make Money? {πŸ’Έ}

We don’t know how the website earns money.

The purpose of some websites isn't monetary gain; they're meant to inform, educate, or foster collaboration. Everyone has unique reasons for building websites. This could be an example. Mirkosignorelli.github.io might be cashing in, but we can't detect the method they're using.

Keywords {πŸ”}

package, survival, erum, neat, ptmixed, conference, pencal, success, cran, read, check, packages, page, signorelli, prc, longitudinal, model, european, users, meeting, find, test, method, visit, manual, outcome, prediction, article, control, cusum, contributions, organizers, stands, network, analysis, implemented, predictors, data, dynamic, journal, estimation, software, event, virtual, overview, statistical, methods, due, time, summarized,

Topics {βœ’οΈ}

poisson-tweedie mixed-effects model longitudinal rna-seq data mixed-effects model penalized regression calibration high-dimensional data made minor contributions bernoulli cusum require successful virtual event bioconductor package enrichmentbrowser article e-rum2020 quality control e-rum2020 resources package success european users meeting 2020 neat test high-dimensional complex longitudinal bernoulli cusum packages enrichmentbrowser article pencal longitudinal predictors fully virtual survival outcome survival outcomes bk-cusum cgr-cusum e-rum2020 packages neat package success success package physical conference package neat package page package manual home publications statistical methods funding constraints github page assess relations typically genes bmc bioinformatics longitudinally measured detailed description feature overdispersion heavy tails model flexible approach statistical modelling implements methods funnel plot

External Links {πŸ”—}(20)

Analytics and Tracking {πŸ“Š}

  • Google Analytics
  • Google Analytics 4
  • Google Tag Manager

Libraries {πŸ“š}

  • Bootstrap
  • FontAwesome
  • jQuery
  • Popper.js

CDN Services {πŸ“¦}

  • Jsdelivr

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