R: Network Meta-Analysis using Frequentist Methods

# Network Meta-Analysis using Frequentist Methods

## Documentation for package ‘netmeta’ version 3.4-0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

A B C D F G H I L M N P R S T W

netmeta-package | netmeta: Brief overview of methods and general hints

## -- A --

as.data.frame.netconnection | Create a data frame from an object of class netconnection
as.data.frame.netmeta | Create a data frame from an object of class netmeta

## -- B --

Baker2009 | Network meta-analysis of pharmacologic treatments for chronic obstructive pulmonary disease
baujat.netpairwise | Conduct pairwise meta-analyses for all comparisons with direct evidence in a network meta-analysis

## -- C --

combinations | Auxiliary functions for component network meta-analysis
comps | Abbreviate treatment names
createC | Auxiliary functions for component network meta-analysis
createC.default | Auxiliary functions for component network meta-analysis
createC.matrix | Auxiliary functions for component network meta-analysis
createC.netcomb | Auxiliary functions for component network meta-analysis
createC.netconnection | Auxiliary functions for component network meta-analysis
createC.netmeta | Auxiliary functions for component network meta-analysis
crossnma2netmeta | Create a netmeta object from a crossnma object

## -- D --

decomp.design | Design-based decomposition of Cochran's Q in network meta-analysis
dietaryfat | Network meta-analysis of dietary fat
discomb | Additive network meta-analysis for combinations of treatments (disconnected networks)
Dogliotti2014 | Network meta-analysis of antithrombotic treatments in patients with non-valvular atrial fibrillation
Dong2013 | Network meta-analysis for chronic obstructive pulmonary disease

## -- F --

forest.netbind | Forest plot showing results of two or more network meta-analyses
forest.netcomb | Forest plot for additive network meta-analysis
forest.netcomparison | Forest plot for complex interventions in component network meta-analysis
forest.netcomplex | Forest plot for complex interventions in component network meta-analysis
forest.netmeta | Forest plot for network meta-analysis
forest.netpairwise | Conduct pairwise meta-analyses for all comparisons with direct evidence in a network meta-analysis
forest.netsplit | Forest plot for direct and indirect evidence
forest.subgroup.netmeta | Forest plot showing results of network meta-analysis with subgroups
Franchini2012 | Network meta-analysis of treatments for Parkinson's disease
funnel.netmeta | 'Comparison-adjusted' funnel plot
funnel.netpairwise | Conduct pairwise meta-analyses for all comparisons with direct evidence in a network meta-analysis

## -- G --

gemtc2netmeta | Create a netmeta object from a gemtc object
Gurusamy2011 | Network meta-analysis on blood loss during liver transplantation

## -- H --

hasse | Hasse diagram
hasse.netposet | Hasse diagram
hatmatrix | Derive hat matrix from network meta-analysis
heatplot | Generic function for heat plots
heatplot.netmeta | Heat Plot

## -- I --

invmat | Moore-Penrose Pseudoinverse of a Matrix

## -- L --

Linde2015 | Network meta-analysis of treatments for depression
Linde2016 | Network meta-analysis of primary care depression treatments

## -- M --

merge.pairwise | Merge pairwise object with additional data
metabias.netmeta | Test of funnel plot asymmetry in network meta-analysis
metabias.netpairwise | Conduct pairwise meta-analyses for all comparisons with direct evidence in a network meta-analysis
metacum.netpairwise | Conduct pairwise meta-analyses for all comparisons with direct evidence in a network meta-analysis
metainf.netpairwise | Conduct pairwise meta-analyses for all comparisons with direct evidence in a network meta-analysis
metareg.netpairwise | Conduct pairwise meta-analyses for all comparisons with direct evidence in a network meta-analysis

## -- N --

netbind | Combine network meta-analysis objects
netcomb | Additive network meta-analysis for combinations of treatments
netcomparison | Calculate comparison effects of two arbitrary complex interventions in component network meta-analysis
netcomplex | Calculate effect of arbitrary complex interventions in component network meta-analysis
netconnection | Get information on network connectivity (number of subnetworks, distance matrix)
netconnection.default | Get information on network connectivity (number of subnetworks, distance matrix)
netconnection.netcomb | Get information on network connectivity (number of subnetworks, distance matrix)
netconnection.netmeta | Get information on network connectivity (number of subnetworks, distance matrix)
netconnection.pairwise | Get information on network connectivity (number of subnetworks, distance matrix)
netcontrib | Contribution matrix in network meta-analysis
netdistance | Calculate distance matrix for an adjacency matrix
netdistance.default | Calculate distance matrix for an adjacency matrix
netdistance.netcomb | Calculate distance matrix for an adjacency matrix
netdistance.netconnection | Calculate distance matrix for an adjacency matrix
netdistance.netmeta | Calculate distance matrix for an adjacency matrix
netgraph | Generic function for network graphs
netgraph.discomb | Network graph for objects of class discomb
netgraph.netcomb | Network graph for objects of class netcomb
netgraph.netconnection | Network graph for objects of class netconnection
netgraph.netimpact | Network graph for objects of class netimpact
netgraph.netmeta | Network graph
netheat | Net heat plot
netimpact | Determine the importance of individual studies in network meta-analysis
netleague | Create league table with network meta-analysis results
netmatrix | Create a matrix with additional information for pairwise comparisons
netmeasures | Measures for characterizing a network meta-analysis
netmeta | Network meta-analysis using graph-theoretical method
netmetabin | Network meta-analysis of binary outcome data
netmetareg | Network meta-regression with a single continuous or binary covariate
netmetareg.default | Network meta-regression with a single continuous or binary covariate
netmetareg.netmeta | Network meta-regression with a single continuous or binary covariate
netpairwise | Conduct pairwise meta-analyses for all comparisons with direct evidence in a network meta-analysis
netpairwise.netmeta | Conduct pairwise meta-analyses for all comparisons with direct evidence in a network meta-analysis
netpairwise.netmetabin | Conduct pairwise meta-analyses for all comparisons with direct evidence in a network meta-analysis
netposet | Partial order of treatments in network meta-analysis
netrank | Frequentist method to rank treatments in network
netsplit | Split direct and indirect evidence in network meta-analysis
nettable | Table with network meta-analysis results

## -- P --

parkinson | Network meta-analysis of treatments for Parkinson's disease
plot.netbind | Forest plot showing results of two or more network meta-analyses
plot.netcomb | Forest plot for additive network meta-analysis
plot.netcomparison | Forest plot for complex interventions in component network meta-analysis
plot.netcomplex | Forest plot for complex interventions in component network meta-analysis
plot.netmeta | Forest plot for network meta-analysis
plot.netpairwise | Conduct pairwise meta-analyses for all comparisons with direct evidence in a network meta-analysis
plot.netposet | Scatter plot or biplot showing partially order of treatment ranks
plot.netrank | Plot treatment ranking(s) of network meta-analyses
plot.netsplit | Forest plot for direct and indirect evidence
plot.rankogram | Plot rankograms
plot.subgroup.netmeta | Forest plot showing results of network meta-analysis with subgroups
print.decomp.design | Print method for objects of class decomp.design
print.hatmatrix | Derive hat matrix from network meta-analysis
print.metabias.netpairwise | Conduct pairwise meta-analyses for all comparisons with direct evidence in a network meta-analysis
print.metacum.netpairwise | Conduct pairwise meta-analyses for all comparisons with direct evidence in a network meta-analysis
print.metainf.netpairwise | Conduct pairwise meta-analyses for all comparisons with direct evidence in a network meta-analysis
print.metareg.netpairwise | Conduct pairwise meta-analyses for all comparisons with direct evidence in a network meta-analysis
print.netbind | Print method for objects of class netbind
print.netcomb | Print method for objects of class netcomb
print.netcomparison | Calculate comparison effects of two arbitrary complex interventions in component network meta-analysis
print.netcomplex | Calculate effect of arbitrary complex interventions in component network meta-analysis
print.netconnection | Get information on network connectivity (number of subnetworks, distance matrix)
print.netcontrib | Contribution matrix in network meta-analysis
print.netdistance | Calculate distance matrix for an adjacency matrix
print.netimpact | Print method for objects of class netimpact
print.netleague | Create league table with network meta-analysis results
print.netmeta | Print method for objects of class netmeta
print.netmetareg | Network meta-regression with a single continuous or binary covariate
print.netpairwise | Conduct pairwise meta-analyses for all comparisons with direct evidence in a network meta-analysis
print.netposet | Partial order of treatments in network meta-analysis
print.netrank | Frequentist method to rank treatments in network
print.netsplit | Split direct and indirect evidence in network meta-analysis
print.nettable | Table with network meta-analysis results
print.rankogram | Print method for rankograms
print.subgroup.netmeta | Subgroup analysis for network meta-analysis
print.summary.netcomb | Print detailed information for component network meta-analysis
print.summary.netconnection | Summary method for objects of class netconnection
print.summary.netmeta | Print detailed results of network meta-analysis
print.summary.netmetareg | Summary method for objects of class netmetareg
print.summary.netpairwise | Conduct pairwise meta-analyses for all comparisons with direct evidence in a network meta-analysis
print.summary.rankogram | Summary method for objects of class rankogram
print.trimfill.netpairwise | Conduct pairwise meta-analyses for all comparisons with direct evidence in a network meta-analysis

## -- R --

radial.netmeta | 'Comparison-adjusted' radial plot
radial.netpairwise | Conduct pairwise meta-analyses for all comparisons with direct evidence in a network meta-analysis
rankogram | Generic function for rankograms
rankogram.default | Calculate rankogram from treatment effect samples
rankogram.netmeta | Calculate rankogram

## -- S --

Senn2013 | Network meta-analysis in diabetes
settings.netmeta | Print and change default network meta-analysis settings in R package *netmeta*
smokingcessation | Network meta-analysis of interventions for smoking cessation
Stowe2010 | Network meta-analysis of adjuvant treatments to levodopa therapy for Parkinson's disease
subgroup | Subgroup analysis for network meta-analysis
subgroup.netmeta | Subgroup analysis for network meta-analysis
summary.netcomb | Summary method for objects of class netcomb
summary.netconnection | Summary method for objects of class netconnection
summary.netmeta | Summary method for objects of class netmeta
summary.netmetareg | Summary method for objects of class netmetareg
summary.netpairwise | Conduct pairwise meta-analyses for all comparisons with direct evidence in a network meta-analysis
summary.rankogram | Summary method for objects of class rankogram

## -- T --

treats | Abbreviate treatment names
trimfill.netpairwise | Conduct pairwise meta-analyses for all comparisons with direct evidence in a network meta-analysis

## -- W --

Woods2010 | Count statistics of survival data