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crossnma
View on CRAN: Click
here
Download and install crossnma package within the R console
Install from CRAN:
install.packages("crossnma")
Install from Github:
library("remotes")
install_github("cran/crossnma") Install by package version:
library("remotes")
install_version("crossnma", "1.3.0") Attach the package and use:
library("crossnma")
Maintained by
Guido Schwarzer
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-04-15
Latest Update: 2024-11-28
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 .
How to cite:
Guido Schwarzer (2022). crossnma: Cross-Design & Cross-Format Network Meta-Analysis and Regression. R package version 1.3.0, https://cran.r-project.org/web/packages/crossnma. Accessed 05 Mar. 2026.
Previous versions and publish date:
Other packages that cited crossnma R package
View crossnma citation profile
Other R packages that crossnma depends,
imports, suggests or enhances
Complete documentation for crossnma
Functions, R codes and Examples using
the crossnma R package
Some associated functions: crossnma-package . crossnma.model . crossnma . heatplot.crossnma . ipddata . league.crossnma . netconnection.crossnma.model . netconnection.crossnma . netgraph.crossnma.model . netgraph.crossnma . plot.crossnma . print.crossnma.model . print.crossnma . print.summary.crossnma.model . print.summary.crossnma . stddata . summary.crossnma.model . summary.crossnma .
Some associated R codes: contrast.matrix.R . crossnma-package.R . crossnma.R . crossnma.code.R . crossnma.model.R . crossnma.model2pairwise.R . datasets.R . funcs.R . heatplot.crossnma.R . league.crossnma.R . max_TE.R . netconnection.crossnma.R . netconnection.crossnma.model.R . netgraph.crossnma.R . netgraph.crossnma.model.R . plot.crossnma.R . print.crossnma.R . print.crossnma.model.R . print.summary.crossnma.R . print.summary.crossnma.model.R . rhat.R . summary.crossnma.R . summary.crossnma.model.R . Full crossnma package functions and examples
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