Bayesian Network Meta-Analysis of Individual and Aggregate Data [R package multinma version 0.4.2]

David M. Phillippo

multinma: Bayesian Network Meta-Analysis of Individual and Aggregate Data

Network meta-analysis and network meta-regression models for aggregate data, individual patient data, and mixtures of both individual and aggregate data using multilevel network meta-regression as described by Phillippo et al. (2020) <doi:10.1111/rssa.12579>. Models are estimated in a Bayesian framework using 'Stan'.

Version:	0.4.2
Depends:	R (≥ 3.4.0)
Imports:	methods, stats, graphics, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.19.2), rstantools (≥ 2.0.0), Rdpack (≥ 0.7), tibble (≥ 2.1.3), dplyr (≥ 0.8.3), rlang, purrr, forcats, glue, randtoolbox, copula, tidyr (≥ 1.0.0), stringr, Matrix, igraph, ggraph, ggplot2, ggdist (≥ 2.1.1), truncdist, bayesplot
LinkingTo:	BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Suggests:	testthat (≥ 2.1.0), withr, knitr, rmarkdown, parallel, R.rsp, rprojroot, loo (≥ 2.0.0), logitnorm, crayon, tidygraph, pkgdown
Published:	2022-03-02
Author:	David M. Phillippo [aut, cre]
Maintainer:	David M. Phillippo <david.phillippo at bristol.ac.uk>
BugReports:	https://github.com/dmphillippo/multinma/issues
License:	GPL-3
URL:	https://dmphillippo.github.io/multinma/, https://github.com/dmphillippo/multinma
NeedsCompilation:	yes
SystemRequirements:	GNU make
Citation:	multinma citation info
Materials:	README NEWS
In views:	MetaAnalysis
CRAN checks:	multinma results

Documentation:

Reference manual:	multinma.pdf
Vignettes:	*Overview of Examples Example: Atrial fibrillation Example: BCG vaccine for tuberculosis Example: Beta blockers Example: Diabetes Example: Dietary fat Example: Plaque psoriasis HTA report Example: Parkinson's disease Example: Plaque psoriasis ML-NMR Example: Smoking cessation Example: Statins for cholesterol lowering Example: Thrombolytic treatments Example: White blood cell transfusion

Downloads:

Package source:	multinma_0.4.2.tar.gz
Windows binaries:	r-devel: multinma_0.4.2.zip, r-release: multinma_0.4.2.zip, r-oldrel: multinma_0.4.2.zip
macOS binaries:	r-release (arm64): multinma_0.4.2.tgz, r-oldrel (arm64): multinma_0.4.2.tgz, r-release (x86_64): multinma_0.4.2.tgz, r-oldrel (x86_64): multinma_0.4.2.tgz
Old sources:	multinma archive

Linking:

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