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

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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/metafor-package.html.

Title:
metafor: A Meta-Analysis Package for R — metafor-package • metafor
Description:
The metafor package provides a comprehensive collection of functions for conducting meta-analyses in R. The package can be used to calculate a wide variety of effect sizes or outcome measures and allows the user to fit equal-, fixed-, and random-effects models to these data. By including study-level variables (‘moderators’) as predictors in these models, (mixed-effects) meta-regression models can also be fitted. For meta-analyses of \(2 \times 2\) tables, proportions, incidence rates, and incidence rate ratios, the package also provides specialized methods, including the Mantel-Haenszel method, Peto
Website Age:
12 years and 3 months (reg. 2013-03-08).

Matching Content Categories {📚}

  • Education
  • Social Networks
  • Science

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.
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How Does Wviechtb.github.io Make Money? {💸}

We're unsure how the site profits.

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 making money, but it's not detectable how they're doing it.

Keywords {🔍}

model, package, models, function, true, effectsoutcomes, ratios, method, data, functions, effect, studies, mixedeffects, sizes, outcome, metafor, measures, incidence, escalc, metaanalytic, metaanalyses, variables, sampling, differences, rmauni, denotes, multiple, metaanalysis, variety, randomeffects, errors, outcomes, standard, observed, effectoutcome, rmamh, rmapeto, rmaglmm, rmamv, conducting, fit, equal, including, metaregression, rate, methods, andor, standardized, average, coefficients,

Topics {✒️}

yi=β0+β1xi1+β2xi2+…+βp′xip′+ui+εi mixed-effects meta-regression model θ1=θ2=…=θk≡θ random/mixed-effects models standard ‘inverse-variance’ method yi=μ+ui+εi mixed-effects model denotes called ‘meta-regression’ models average true effect/outcome multiple effects/outcomes derived common control/reference group including study-level variables term ‘fixed-effects model fitting equal-effects models mixed-effects logistic meta-analytic models yi=θ+εi meta-analytic literature meta-regression models poisson regression models random-effects models effects/outcomes derived control/reference group �poisson-normal’ models obtaining confidence intervals normal quantile-quantile central hypergeometric distribution shared phylogenetic history good starting place russell sage foundation national cancer institute meta-regression model assess model fit study-level variables true effects/outcomes multiple treatment groups effects/outcomes tend conducting meta-analyses network meta-analyses multiple treatment studies correlated true effects true effect/outcome random-effects model �small-study effects jth moderator variable conducting sensitivity analyses variance stabilizing transformation �normal-normal’ model equal-effects model independent effects/outcomes

Libraries {📚}

  • Bootstrap
  • Clipboard.js
  • Foundation
  • jQuery

CDN Services {📦}

  • Cloudflare

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