Feedstock license: BSD-3-Clause
Home: https://github.com/guido-s/netmeta https://link.springer.com/book/10.1007/978-3-319-21416-0
Package license: GPL-2.0-or-later
Summary: A comprehensive set of functions providing frequentist methods for network meta-analysis and supporting Schwarzer et al. (2015) DOI:10.1007/978-3-319-21416-0, Chapter 8 "Network Meta-Analysis": - frequentist network meta-analysis following Rücker (2012) DOI:10.1002/jrsm.1058; - net heat plot and design-based decomposition of Cochran's Q according to Krahn et al. (2013) DOI:10.1186/1471-2288-13-35; - measures characterizing the flow of evidence between two treatments by König et al. (2013) DOI:10.1002/sim.6001; - ranking of treatments (frequentist analogue of SUCRA) according to Rücker & Schwarzer (2015) DOI:10.1186/s12874-015-0060-8; - partial order of treatment rankings ('poset') and Hasse diagram for 'poset' (Carlsen & Bruggemann, 2014) DOI:10.1002/cem.2569; (Rücker & Schwarzer, 2017) DOI:10.1002/jrsm.1270; - split direct and indirect evidence to check consistency (Dias et al., 2010) DOI:10.1002/sim.3767, (Efthimiou et al., 2019) DOI:10.1002/sim.8158; - league table with network meta-analysis results; - additive network meta-analysis for combinations of treatments (Rücker et al., 2020) DOI:10.1002/bimj.201800167; - network meta-analysis of binary data using the Mantel-Haenszel or non-central hypergeometric distribution method (Efthimiou et al., 2019) DOI:10.1002/sim.8158; - 'comparison-adjusted' funnel plot (Chaimani & Salanti, 2012) DOI:10.1002/jrsm.57; - automated drawing of network graphs described in Rücker & Schwarzer (2016) DOI:10.1002/jrsm.1143; - rankograms and ranking by SUCRA; - contribution matrix as described in Papakonstantinou et al. (2018) DOI:10.12688/f1000research.14770.3 and Davies et al. (2021) arXiv:2107.02886.
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Installing r-netmeta from the conda-forge channel can be achieved by adding conda-forge to your channels with:
conda config --add channels conda-forge
conda config --set channel_priority strict
Once the conda-forge channel has been enabled, r-netmeta can be installed with conda:
conda install r-netmeta
or with mamba:
mamba install r-netmeta
It is possible to list all of the versions of r-netmeta available on your platform with conda:
conda search r-netmeta --channel conda-forge
or with mamba:
mamba search r-netmeta --channel conda-forge
Alternatively, mamba repoquery may provide more information:
# Search all versions available on your platform:
mamba repoquery search r-netmeta --channel conda-forge
# List packages depending on `r-netmeta`:
mamba repoquery whoneeds r-netmeta --channel conda-forge
# List dependencies of `r-netmeta`:
mamba repoquery depends r-netmeta --channel conda-forge
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