meta: Brief overview of methods and general hints
Description
R package meta is a userfriendly general package providing standard methods for metaanalysis and supporting Schwarzer et al. (2015), http://metaanalysiswithr.org/.
Details
R package meta (Schwarzer, 2007) provides the following metaanalysis methods:
fixed effect and random effects metaanalysis (functions
metabin
,metacont
,metacor
,metagen
,metainc
,metaprop
, andmetarate
);several plots (
forest
,funnel
, Galbraith /radial
,labbe
,baujat
,bubble
);statistical tests (
metabias
) and trimandfill method (trimfill
) to evaluate bias in metaanalysis;import data from 'RevMan 5' (
read.rm5
; see alsometacr
);prediction interval, HartungKnapp and PauleMandel method for random effects model (arguments in metaanalysis functions);
cumulative metaanalysis (
metacum
) and leaveoneout metaanalysis (metainf
);metaregression (
metareg
; if R package metafor is installed);generalised linear mixed models (
metabin
,metainc
,metaprop
, andmetarate
; if R packages metafor, lme4, numDeriv, and BiasedUrn are installed).
The following more advanced statistical methods are provided by addon R packages:
frequentist methods for network metaanalysis (R package netmeta);
advanced methods to model and adjust for bias in metaanalysis (R package metasens).
See settings.meta
to learn how to print and specify
default metaanalysis methods used during your R session. For
example, the following R command specifies the use of the
HartungKnapp and PauleMandel methods, and the printing of
prediction intervals for any metaanalysis in the current R session:

settings.meta(hakn=TRUE, method.tau="PM", prediction=TRUE)
Type help(package = "meta")
for a listing of R functions
available in meta.
Schwarzer (2007) is the preferred citation in publications for
meta. Type citation("meta")
for a BibTeX entry of this
publication.
To report problems and bugs
type
bug.report(package = "meta")
if you do not use RStudio,send an email to Guido Schwarzer sc@imbi.unifreiburg.de if you use RStudio.
The development version of meta is available on GitHub https://github.com/guidos/meta.
Author(s)
Guido Schwarzer sc@imbi.unifreiburg.de
References
Schwarzer G (2007), meta: An R package for metaanalysis. R News, 7(3), 40–5. https://cran.rproject.org/doc/Rnews/Rnews_20073.pdf
Schwarzer G, Carpenter JR and Rücker G (2015), MetaAnalysis with R (UseR!). Springer International Publishing, Switzerland. http://www.springer.com/gp/book/9783319214153