This package is considered a duplicate. The official version of this package is found at:https://guido-s.r-universe.dev/crossnma

Package: crossnma 1.3.1

Guido Schwarzer

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

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 <doi:10.1002/jrsm.1619>.

Authors:Tasnim Hamza [aut], Guido Schwarzer [aut, cre], Georgia Salanti [aut]

crossnma_1.3.1.tar.gz
crossnma_1.3.1.zip(r-4.7-any)crossnma_1.3.1.zip(r-4.6-any)
crossnma_1.3.1.tar.gz(r-4.7-any)crossnma_1.3.1.tar.gz(r-4.6-any)
crossnma_1.3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
crossnma/json (API)

# Install 'crossnma' in R:

install.packages('crossnma', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/guido-s/crossnma/issues

Uses libs:

jags– Just Another Gibbs Sampler for Bayesian MCMC
c++– GNU Standard C++ Library v3

Datasets:

ipddata - Simulated individual participant dataset.
stddata - Simulated aggregate dataset.

On CRAN:

jags cpp

2.42 score 13 scripts 2.0k downloads 3 exports 73 dependencies

Last updated from:d4629b3aae. Checks:4 WARNING, 2 OK. Indexed: no.

Target	Result	Time
linux-devel	WARNING	175
source / vignettes	OK	303
linux-release	WARNING	163
windows-devel	WARNING	140
windows-release	WARNING	146
wasm-release	OK	117

Exports:crossnma crossnma.model league

Dependencies:abind bit bit64 boot cli clipr coda colorspace CompQuadForm cpp11 crayon digest dplyr farver generics ggplot2 ggrepel glue gtable hms igraph isoband labeling lattice lifecycle lme4 magic magrittr MASS mathjaxr Matrix meta metabook metadat metafor minqa mvtnorm netmeta nlme nloptr numDeriv pbapply pillar pkgconfig plyr prettyunits progress purrr R6 rbibutils RColorBrewer Rcpp RcppEigen Rdpack readr reformulas reshape2 rjags rlang S7 scales stringi stringr tibble tidyr tidyselect tzdb utf8 vctrs viridisLite vroom withr xml2

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

Rendered fromcrossnma.Rmdusingknitr::rmarkdown

Last update: 2026-06-19
Started: 2022-04-15

Citation

Readme and manuals

Help Manual

Help page	Topics
crossnma: An R package for synthesizing cross-design evidence and cross-format data using Bayesian methods in network meta-analysis and network meta-regression	crossnma-package
Run JAGS to fit cross NMA and NMR	crossnma
Create JAGS model and data to perform cross network meta analysis or meta-regression	crossnma.model
Heat Plot	heatplot.crossnma
Simulated individual participant dataset.	ipddata
League Table	league league.crossnma print.league.crossnma
Get information on network connectivity (number of subnetworks, distance matrix)	netconnection.crossnma
Get information on network connectivity (number of subnetworks, distance matrix)	netconnection.crossnma.model
Produce a network plot	netgraph.crossnma
Produce a network plot	netgraph.crossnma.model
Trace plot of MCMC output	plot.crossnma
Print results of cross-design & -format network meta-analysis or regression	print.crossnma
Print call used to create JAGS model for cross-design & -format network meta-analysis or regression	print.crossnma.model
Print summary of cross-design & -format network meta-analysis or regression	print.summary.crossnma
Print code of JAGS model for cross-design & -format network meta-analysis or regression	print.summary.crossnma.model
Simulated aggregate dataset.	stddata
Summary function for crossnma object	summary.crossnma
Summary function for crossnma.model object	summary.crossnma.model

Package: crossnma 1.3.1

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

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)