CRAN/E | multinma

multinma

Bayesian Network Meta-Analysis of Individual and Aggregate Data

Installation

About

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'.

Citation multinma citation info
dmphillippo.github.io/multinma/
github.com/dmphillippo/multinma
System requirements GNU make
Bug report File report

Key Metrics

Version 0.6.0
R ≥ 3.4.0
Published 2024-01-24 93 days ago
Needs compilation? yes
License GPL-3
CRAN checks multinma results

Downloads

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Maintainer

Maintainer

David M. Phillippo

david.phillippo@bristol.ac.uk

Authors

David M. Phillippo

aut / cre

Material

README
NEWS
Reference manual
Package source

In Views

MetaAnalysis

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: Newly diagnosed multiple myeloma
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

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

multinma archive

Depends

R ≥ 3.4.0

Imports

methods
stats
graphics
survival
Rcpp ≥ 0.12.0
RcppParallel ≥ 5.0.1
rstan ≥ 2.26.0
rstantools ≥2.0.0
Rdpack ≥ 0.7
tibble ≥ 2.1.3
dplyr ≥ 1.0.0
rlang
purrr
forcats
glue
randtoolbox
copula
tidyr ≥1.0.0
stringr
Matrix
igraph
ggraph
ggplot2 ≥ 3.3.0
ggdist ≥ 2.1.1
truncdist
bayesplot

Suggests

testthat ≥ 2.1.0
withr
knitr
rmarkdown
parallel
R.rsp
rprojroot
loo ≥ 2.0.0
logitnorm
crayon
tidygraph
pkgdown
splines2 ≥ 0.5.0
flexsurv
rstpm2

LinkingTo

BH ≥ 1.66.0
Rcpp ≥ 0.12.0
RcppEigen ≥ 0.3.3.3.0
RcppParallel ≥ 5.0.1
rstan ≥ 2.26.0
StanHeaders ≥2.26.0