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

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

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Wviechtb.github.io Make Money
  6. Keywords
  7. Topics
  8. External Links
  9. Libraries
  10. CDN Services

We are analyzing https://wviechtb.github.io/metafor/reference/fsn.html.

Title:
Fail-Safe N Analysis (File Drawer Analysis) โ€” fsn โ€ข metafor
Description:
Function to compute the fail-safe N (also called a file drawer analysis).
Website Age:
12 years and 3 months (reg. 2013-03-08).

Matching Content Categories {๐Ÿ“š}

  • Education
  • Science
  • Graphic Design

Content Management System {๐Ÿ“}

What CMS is wviechtb.github.io built with?

Custom-built

No common CMS systems were detected on Wviechtb.github.io, but we identified it was custom coded using Bootstrap (CSS).

Traffic Estimate {๐Ÿ“ˆ}

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

๐Ÿš— Small Traffic: 1k - 5k visitors per month


Based on our best estimate, this website will receive around 1,019 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 Wviechtb.github.io Make Money? {๐Ÿ’ธ}

We donโ€™t know how the website earns money.

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. Wviechtb.github.io might be cashing in, but we can't detect the method they're using.

Keywords {๐Ÿ”}

method, failsafe, effect, target, size, studies, file, drawer, level, average, model, observed, significance, results, calculation, based, alpha, general, outcome, number, default, datadat, approach, object, orwin, rosenberg, null, set, averaging, argument, heterogeneity, fsnyi, type, rma, note, rosenthal, vector, class, typegeneral, minimum, added, randomeffects, pvalue, amount, optional, methods, calculates, reduce, estimated, equaleffects,

Topics {โœ’๏ธ}

inverse-variance weighted average file-drawer problem revisited calculating fail-safe numbers inverse-variance weights observed effect sizes random-effects model additional elements/values research synthesis methodology /lib/exe/fetch combined significance level equal-effects model effect size file drawer problem standard normal distribution rank correlation test calculated fail-safe conducting meta-analyses target alpha level observed average setting exact=true general weighted method null results note author references file drawer analysis ๏ฟฝfile drawer analysis unweighted average combining p-values model fitting method observed results significance level sampling variances 18637/jss examples developed fail-safe ๏ฟฝfail-safe observed studies alpha level identical results ci=cpos target=log excess significance results based subset optional meta-analyses printed results target argument t-distribution metafor-project file drawer meta-analysis

Libraries {๐Ÿ“š}

  • Bootstrap
  • Clipboard.js
  • jQuery

CDN Services {๐Ÿ“ฆ}

  • Cloudflare

1.57s.