[R-meta] R package meta (version 4.7-0) available

[Guido Schwarzer]

Hi all,

R package netmeta, version 0.9-7, is available on CRAN 
(https://cran.r-project.org/package=netmeta).

Main new features (since netmeta, version 0.9-6):

- New function forest.netsplit() to produce forest plots with network, 
direct, and indirect evidence

- New function netcomb() to estimate additive network meta-analysis for 
combinations of treatments

- New default in function netsplit(): treatment comparisons are selected 
from upper treatment estimates matrix, i.e., comparisons are "A vs B", 
"A vs C", and "B vs C" for treatments "A", "B", and "C" instead of "B vs 
A", etc.

- League tables can be exported as CSV or Excel file

- Zero treatment arm variance in multi-arm studies results in a warning 
instead of an error message

- Some bug fixes

A complete list of changes providing more details is available on 
https://cran.r-project.org/web/packages/netmeta/NEWS . See also 
https://github.com/guido-s/netmeta .

Best wishes,
Guido

Hi all,

R package meta, version 4.9-0, is available on CRAN 
(https://cran.r-project.org/package=meta).

Main new features (since meta, version 4.8-4):

- New function metabind() to combine meta-analysis objects, e.g. to 
generate a forest plot with results of several subgroup analyses (using 
new function forest.metabind())

- New function metamean() to conduct meta-analysis of single means

- Subgroup analyses implemented for generalised linear mixed models 
(GLMMs) with and without assumption of common between-study variance 
(arguments 'byvar' and 'tau.common')

- Axis direction can be reversed for x-axis in forest plots

- Source code version of meta can be installed without compilation, 
i.e., without use of Rtools on Windows or 'Command-line tools for Xcode' 
on macOS

- Rank test for funnel plot asymmetry uses cor() from R package stats 
instead of internal C routine (negligibly slower, however, no need for 
compilation of source installs)

A complete list of changes providing more details is available on 
https://cran.r-project.org/web/packages/meta/NEWS . See also 
https://github.com/guido-s/meta .

Best wishes,
Guido

-- 
Dr. Guido Schwarzer (sc at imbi.uni-freiburg.de)
Institute of Medical Biometry and Statistics
Stefan-Meier-Str. 26, D-79104 Freiburg | Phone: +49 (0)761 203 6668
http://www.imbi.uni-freiburg.de        | Fax:   +49 (0)761 203 6680