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/vif.html.

Title:
Variance Inflation Factors for 'rma' Objects — vif • metafor
Description:
Function to compute (generalized) variance inflation factors (VIFs) for objects of class "rma".
Website Age:
12 years and 3 months (reg. 2013-03-08).

Matching Content Categories {📚}

  • Photography
  • Style & Fashion
  • Hobbies & Interests

Content Management System {📝}

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 {📈}

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

🚗 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? {💸}

We can't figure out the monetization strategy.

Not all websites are made for profit; some exist to inform or educate users. Or any other reason why people make websites. And this might be the case. Wviechtb.github.io might be making money, but it's not detectable how they're doing it.

Keywords {🔍}

model, gvif, coefficients, variance, inflation, variables, simtrue, vifs, vif, set, moderator, vifres, computed, factors, function, factor, values, approach, pval, default, simulated, matrix, data, generalized, list, scale, coefficient, estimate, collinearity, btt, object, distribution, number, parallel, results, argument, gvifs, reshuffled, mods, res, factortypep, factortypes, factorstructu, locationscale, models, heterogeneity, reestimatetrue, fitting, test, datadat,

Topics {✒️}

relative risk regression-analysis location-scale models fitted variance inflation factors meta-regression models meta-regression model conducting meta-analyses original model fitted location-scale model object clever linear algebra unix/linux-alikes diet cancer relationship research synthesis methods model includes factors general principle underlying location-scale models jth moderator variable american statistical association variance/correlation components separate worker processes jth model coefficient single moderator variable fit models multiple dummy variables approach perfect multicollinearity include moderator variables random number generator generalized collinearity diagnostics model coefficient table estimation approach vif factor/character variables full table vif note author references var[bj] additional elements/values parlapply functions meta-analysis individual model coefficients multiple model coefficients removing moderator variables case gvifs/gsifs individual coefficients vif regression diagnostics reshuffled model matrix 18637/jss 'alloc' factor vif setting sim=true parallel processing makes squares regression btt argument equal set reestimate=true

External Links {🔗}(23)

Libraries {📚}

  • Bootstrap
  • Clipboard.js
  • jQuery

CDN Services {📦}

  • Cloudflare

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