# netmeta-package

##### netmeta: Brief overview of methods and general hints

R package **netmeta** provides frequentist methods for network
meta-analysis and supports Schwarzer et al. (2015), Chapter 8 on
network meta-analysis http://meta-analysis-with-r.org/.

##### Details

R package **netmeta** is an add-on package for **meta**
providing the following meta-analysis methods:

frequentist network meta-analysis (function

`netmeta`

) based on R<U+00FC>cker (2012);net heat plot (

`netheat`

) and design-based decomposition of Cochran's Q (`decomp.design`

) described in Krahn et al. (2013);measures characterizing the flow of evidence between two treatments (

`netmeasures`

) described in K<U+00F6>nig et al. (2013);ranking of treatments (

`netrank`

) based on frequentist analogue of SUCRA (R<U+00FC>cker & Schwarzer, 2015);partial order of treatment rankings (

`netposet`

,`plot.netposet`

) and Hasse diagram (`hasse`

) according to Carlsen & Bruggemann (2014);split direct and indirect evidence (

`netsplit`

) to check for consistency (Dias et al., 2010);league table with network meta-analysis results (

`netleague`

);automated drawing of network graphs (

`netgraph`

) described in R<U+00FC>cker & Schwarzer (2016).

Furthermore, functions and datasets from **netmeta** are utilised
in Schwarzer et al. (2015), Chapter 8 "Network Meta-Analysis",
http://meta-analysis-with-r.org/.

Type `help(package = "netmeta")`

for a listing of R functions
available in **netmeta**.

Type `citation("netmeta")`

on how to cite **netmeta** in
publications.

To report problems and bugs

type

`bug.report(package = "netmeta")`

if you do not use RStudio,send an email to Guido Schwarzer sc@imbi.uni-freiburg.de if you use RStudio.

The development version of **netmeta** is available on GitHub
https://github.com/guido-s/netmeta.

##### References

Carlsen L, Bruggemann R (2014),
Partial order methodology: a valuable tool in chemometrics.
*Journal of Chemometrics*,
**28**, 226--34, DOI:10.1002/cem.2569 .

Dias S, Welton NJ, Caldwell DM, Ades AE (2010).
Checking consistency in mixed treatment comparison meta-analysis.
*Statistics in Medicine*, **29**, 932--44.

K<U+00F6>nig J, Krahn U, Binder H (2013).
Visualizing the flow of evidence in network meta-analysis and
characterizing mixed treatment comparisons.
*Statistics in Medicine*, **32**(30), 5414--29.

Krahn U, Binder H, K<U+00F6>nig J (2013),
A graphical tool for locating inconsistency in network
meta-analyses.
*BMC Medical Research Methodology*, **13**, 35.

R<U+00FC>cker G (2012),
Network meta-analysis, electrical networks and graph theory.
*Research Synthesis Methods*,
**3**, 312--24.

R<U+00FC>cker G & Schwarzer G (2015),
Ranking treatments in frequentist network meta-analysis works
without resampling methods.
*BMC Medical Research Methodology*,
**15**, 58, DOI:10.1186/s12874-015-0060-8 .

R<U+00FC>cker G & Schwarzer G (2016),
Automated drawing of network plots in network meta-analysis.
*Research Synthesis Methods*, **7**, 94--107.

Schwarzer G, Carpenter JR and R<U+00FC>cker G (2015),
*Meta-Analysis with R (Use-R!)*.
Springer International Publishing, Switzerland.
http://www.springer.com/gp/book/9783319214153

*Documentation reproduced from package netmeta, version 0.9-5, License: GPL (>= 2)*