metafor/ 0000755 0001762 0000144 00000000000 14060150153 011702 5 ustar ligges users metafor/NAMESPACE 0000644 0001762 0000144 00000007175 14054724035 013144 0 ustar ligges users exportPattern("^[^\\.]")
import(stats)
import(utils)
import(graphics)
import(grDevices)
import(methods)
import(Matrix)
importFrom(nlme, ranef)
export(ranef)
import(mathjaxr)
S3method("[", list.rma)
S3method("$<-", list.rma)
S3method("[", escalc)
S3method(addpoly, default)
S3method(addpoly, rma)
S3method(aggregate, escalc)
S3method(AIC, rma)
S3method(anova, rma)
S3method(as.data.frame, list.rma)
S3method(as.matrix, list.rma)
S3method(baujat, rma)
S3method(BIC, rma)
S3method(blup, rma.uni)
S3method(cbind, escalc)
S3method(coef, rma)
S3method(coef, summary.rma)
S3method(coef, permutest.rma.uni)
S3method(confint, rma.glmm)
S3method(confint, rma.mh)
S3method(confint, rma.mv)
S3method(confint, rma.peto)
S3method(confint, rma.uni)
S3method(confint, rma.uni.selmodel)
S3method(confint, rma.ls)
S3method(cooks.distance, rma.mv)
S3method(cooks.distance, rma.uni)
S3method(cumul, rma.mh)
S3method(cumul, rma.peto)
S3method(cumul, rma.uni)
S3method(deviance, rma)
S3method(df.residual, rma)
S3method(dfbetas, rma.mv)
S3method(dfbetas, rma.uni)
S3method(fitstats, rma)
S3method(fitted, rma)
S3method(forest, default)
S3method(forest, rma)
S3method(forest, cumul.rma)
S3method(formula, rma)
S3method(funnel, default)
S3method(funnel, rma)
S3method(gosh, rma)
S3method(hatvalues, rma.mv)
S3method(hatvalues, rma.uni)
S3method(hc, rma.uni)
S3method(influence, rma.uni)
S3method(labbe, rma)
S3method(leave1out, rma.mh)
S3method(leave1out, rma.peto)
S3method(leave1out, rma.uni)
S3method(logLik, rma)
S3method(regplot, rma)
S3method(model.matrix, rma)
S3method(nobs, rma)
S3method(permutest, rma.uni)
S3method(plot, cumul.rma)
S3method(plot, gosh.rma)
S3method(plot, infl.rma.uni)
S3method(plot, profile.rma)
S3method(plot, rma.glmm)
S3method(plot, rma.mh)
S3method(plot, rma.peto)
S3method(plot, rma.uni)
S3method(plot, rma.uni.selmodel)
S3method(points, regplot)
S3method(predict, rma)
S3method(predict, rma.ls)
S3method(print, anova.rma)
S3method(print, confint.rma)
S3method(print, escalc)
S3method(print, fsn)
S3method(print, gosh.rma)
S3method(print, infl.rma.uni)
S3method(print, list.rma)
S3method(head, list.rma)
S3method(tail, list.rma)
S3method(print, list.confint.rma)
S3method(print, hc.rma.uni)
S3method(print, matreg)
S3method(print, permutest.rma.uni)
S3method(print, profile.rma)
S3method(print, ranktest)
S3method(print, regtest)
S3method(print, rma.glmm)
S3method(print, rma.mh)
S3method(print, rma.mv)
S3method(print, rma.peto)
S3method(print, rma.uni)
S3method(print, robust.rma)
S3method(print, summary.rma)
S3method(print, tes)
S3method(print, vif.rma)
S3method(profile, rma.mv)
S3method(profile, rma.uni)
S3method(profile, rma.uni.selmodel)
S3method(profile, rma.ls)
S3method(qqnorm, rma.glmm)
S3method(qqnorm, rma.mh)
S3method(qqnorm, rma.mv)
S3method(qqnorm, rma.peto)
S3method(qqnorm, rma.uni)
S3method(radial, rma)
S3method(ranef, rma.mv)
S3method(ranef, rma.uni)
S3method(ranktest, default)
S3method(ranktest, rma)
S3method(rbind, escalc)
S3method(regtest, default)
S3method(regtest, rma)
S3method(reporter, rma.uni)
S3method(residuals, rma)
S3method(robust, rma.mv)
S3method(robust, rma.uni)
S3method(selmodel, rma.uni)
S3method(rstandard, rma.mh)
S3method(rstandard, rma.mv)
S3method(rstandard, rma.peto)
S3method(rstandard, rma.uni)
S3method(rstudent, rma.mh)
S3method(rstudent, rma.mv)
S3method(rstudent, rma.peto)
S3method(rstudent, rma.uni)
S3method(simulate, rma)
S3method(summary, escalc)
S3method(summary, rma)
S3method(tes, default)
S3method(tes, rma)
S3method(trimfill, rma.uni)
S3method(update, rma)
S3method(vif, rma)
S3method(vcov, rma)
S3method(weights, rma.glmm)
S3method(weights, rma.mh)
S3method(weights, rma.mv)
S3method(weights, rma.peto)
S3method(weights, rma.uni)
metafor/README.md 0000644 0001762 0000144 00000013512 14056237142 013174 0 ustar ligges users metafor: A Meta-Analysis Package for R
======================================
[](https://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html)
[](https://github.com/wviechtb/metafor/actions)
[](https://codecov.io/gh/wviechtb/metafor)
[](https://cran.r-project.org/package=metafor)
[](https://www.metafor-project.org/doku.php/installation#development_version)
[](https://cranlogs.r-pkg.org/badges/metafor)
[](https://cranlogs.r-pkg.org/badges/grand-total/metafor)
## Description
The `metafor` package is a comprehensive collection of functions for conducting meta-analyses in R. The package includes functions to calculate various effect sizes or outcome measures, fit fixed-, random-, and mixed-effects models to such data, carry out moderator and meta-regression analyses, and create various types of meta-analytical plots (e.g., forest, funnel, radial, L'Abbé, Baujat, bubble, and GOSH plots). For meta-analyses of binomial and person-time data, the package also provides functions that implement specialized methods, including the Mantel-Haenszel method, Peto's method, and a variety of suitable generalized linear (mixed-effects) models (i.e., mixed-effects logistic and Poisson regression models). Finally, the package provides functionality for fitting meta-analytic multivariate/multilevel models that account for non-independent sampling errors and/or true effects (e.g., due to the inclusion of multiple treatment studies, multiple endpoints, or other forms of clustering). Network meta-analyses and meta-analyses accounting for known correlation structures (e.g., due to phylogenetic relatedness) can also be conducted.
## Package Website
The `metafor` package website can be found at [https://www.metafor-project.org](https://www.metafor-project.org). On the website, you can find:
* some [news](https://www.metafor-project.org/doku.php/news:news) concerning the package and/or its development,
* a more detailed description of the [package features](https://www.metafor-project.org/doku.php/features),
* a log of the [package updates](https://www.metafor-project.org/doku.php/updates) that have been made over the years,
* a [to-do list](https://www.metafor-project.org/doku.php/todo) and a description of planned features to be implemented in the future,
* information on how to [download and install](https://www.metafor-project.org/doku.php/installation) the package,
* information on how to obtain [documentation and help](https://www.metafor-project.org/doku.php/help) with using the package,
* some [analysis examples](https://www.metafor-project.org/doku.php/analyses) that illustrate various models, methods, and techniques,
* a little showcase of [plots and figures](https://www.metafor-project.org/doku.php/plots) that can be created with the package,
* some [tips and notes](https://www.metafor-project.org/doku.php/tips) that may be useful when working with the package,
* a list of people that have in some shape or form [contributed](https://www.metafor-project.org/doku.php/contributors) to the development of the package,
* a [frequently asked questions](https://www.metafor-project.org/doku.php/faq) section, and
* some [links](https://www.metafor-project.org/doku.php/links) to other websites related to software for meta-analysis.
## Documentation
A good starting place for those interested in using the `metafor` package is the following paper:
Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. *Journal of Statistical Software, 36*(3), 1-48. [https://doi.org/10.18637/jss.v036.i03](https://doi.org/10.18637/jss.v036.i03)
In addition to reading the paper, carefully read the [package intro](https://wviechtb.github.io/metafor/reference/metafor-package.html) and then the help pages for the [`escalc`](https://wviechtb.github.io/metafor/reference/escalc.html) and the [`rma.uni`](https://wviechtb.github.io/metafor/reference/rma.uni.html) functions (or the [`rma.mh`](https://wviechtb.github.io/metafor/reference/rma.mh.html), [`rma.peto`](https://wviechtb.github.io/metafor/reference/rma.peto.html), [`rma.glmm`](https://wviechtb.github.io/metafor/reference/rma.glmm.html), [`rma.mv`](https://wviechtb.github.io/metafor/reference/rma.mv.html) functions if you intend to use these methods). The help pages for these functions provide links to many additional functions, which can be used after fitting a model. You can also read the entire documentation online at [https://wviechtb.github.io/metafor/](https://wviechtb.github.io/metafor/) (where it is nicely formatted, equations are shown correctly, and the output from all examples is provided).
## Installation
The current official (i.e., [CRAN](https://cran.r-project.org/package=metafor)) release can be installed within R with:
```r
install.packages("metafor")
```
The development version of the package can be installed with:
```r
install.packages("remotes")
remotes::install_github("wviechtb/metafor")
```
This builds the package from source based on the current version on [GitHub](https://github.com/wviechtb/metafor).
## Meta
The metafor package was written by [Wolfgang Viechtbauer](https://www.wvbauer.com/). It is licensed under the [GNU General Public License](https://www.gnu.org/licenses/old-licenses/gpl-2.0.txt). For citation info, type `citation(package='metafor')` in R. To report any issues or bugs or to suggest enhancements to the package, please go [here](https://github.com/wviechtb/metafor/issues).
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