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: 0.2.0
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), knitr, rmarkdown, parallel, R.rsp, rprojroot, loo (≥ 2.0.0), logitnorm, crayon, tidygraph, pkgdown
Published: 2020-12-04
Author: David M. Phillippo ORCID iD [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

Downloads:

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
Package source: multinma_0.2.0.tar.gz
Windows binaries: r-devel: multinma_0.2.0.zip, r-release: multinma_0.1.3.zip, r-oldrel: multinma_0.1.3.zip
macOS binaries: r-release: multinma_0.1.3.tgz, r-oldrel: multinma_0.1.3.tgz
Old sources: multinma archive

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