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crossnma (version 1.3.0)

Cross-Design & Cross-Format Network Meta-Analysis and Regression

Description

Network meta-analysis and meta-regression (allows including up to three covariates) for individual participant data, aggregate data, and mixtures of both formats using the three-level hierarchical model. Each format can come from randomized controlled trials or non-randomized studies or mixtures of both. Estimates are generated in a Bayesian framework using JAGS. The implemented models are described by Hamza et al. 2023 .

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Install

install.packages('crossnma')

Monthly Downloads

2,663

Version

1.3.0

License

GPL (>= 2)

Issues

0

Pull Requests

1

Stars

1

Forks

3

Maintainer

Guido Schwarzer

Last Published

November 28th, 2024

Functions in crossnma (1.3.0)

plot.crossnma

Trace plot of MCMC output
summary.crossnma.model

Summary function for crossnma.model object
summary.crossnma

Summary function for crossnma object
print.summary.crossnma.model

Print code of JAGS model for cross-design & -format network meta-analysis or regression
print.crossnma.model

Print call used to create JAGS model for cross-design & -format network meta-analysis or regression
print.summary.crossnma

Print summary of cross-design & -format network meta-analysis or regression
stddata

Simulated aggregate dataset.
print.crossnma

Print results of cross-design & -format network meta-analysis or regression
crossnma-package

crossnma: An R package for synthesizing cross-design evidence and cross-format data using Bayesian methods in network meta-analysis and network meta-regression
netgraph.crossnma.model

Produce a network plot
league.crossnma

League Table
crossnma.model

Create JAGS model and data to perform cross network meta analysis or meta-regression
netgraph.crossnma

Produce a network plot
crossnma

Run JAGS to fit cross NMA and NMR
netconnection.crossnma.model

Get information on network connectivity (number of subnetworks, distance matrix)
netconnection.crossnma

Get information on network connectivity (number of subnetworks, distance matrix)
ipddata

Simulated individual participant dataset.
heatplot.crossnma

Heat Plot