Package: mvnma 0.1-0
Theodoros Evrenoglou
mvnma: Multivariate Network Meta-Analysis using Bayesian Methods
Tools to conduct Bayesian multivariate network meta-analysis providing - the single correlation coefficient model by Efthimiou et al. (2015) <doi:10.1093/biostatistics/kxu030>; - per-outcome treatment hierarchies using the surface under the cumulative ranking curve (SUCRA), the probability of best value, or median (or mean) ranks (Salanti et al., 2011) <doi:10.1016/j.jclinepi.2010.03.016>; - across-outcomes benefit-risk assessment using the VišeKriterijumska Optimizacija I Kompromisno Rešenje (VIKOR) method (Opricovic & Tzeng, 2004) <doi:10.1016/S0377-2217(03)00020-1>; - convergence checks using trace plots, density plots, or the R-hat statistic; - forest plots of treatment estimates, scatter plots of per-outcome rankings, Hasse diagrams (Carlsen & Bruggemann, 2014) <doi:10.1002/cem.2569> to visualize the partial order of the treatments across all outcomes.
Authors:
mvnma_0.1-0.tar.gz
mvnma_0.1-0.tar.gz(r-4.7-any)mvnma_0.1-0.tar.gz(r-4.6-any)
mvnma_0.1-0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mvnma/json (API)
NEWS
| # Install 'mvnma' in R: |
| install.packages('mvnma', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tevrenoglou/mvnma/issues
- jags– Just Another Gibbs Sampler for Bayesian MCMC - binary JAGS is Just Another Gibbs Sampler. It is a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS. JAGS was written with three aims in mind: * To have an engine for the BUGS language that runs on Unix * To be extensible, allowing users to write their own functions, distributions and samplers. * To be a plaftorm for experimentation with ideas in Bayesian modelling This package contains the 'jags' binary as well as the associated shared library modules loaded by the binary.
- c++– GNU Standard C++ Library v3
Last updated from:0488981e64. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 158 | ||
| source / vignettes | OK | 208 | ||
| linux-release-x86_64 | OK | 218 | ||
| wasm-release | OK | 128 |
Exports:as.mcmclinechartmvnmamvrankspiechartvikor
Dependencies:abindbitbit64bootclicliprcodacolorspaceCompQuadFormcpp11crayondata.tabledigestdplyrfarverforcatsgenericsggplot2gluegtablehmsigraphisobandjsonlitelabelinglatticelifecyclelme4magicmagrittrMASSmathjaxrMatrixmatrixStatsmetametabookmetadatmetaforminqamvtnormnetmetanlmenloptrnumDerivpbapplypillarpkgconfigprettyunitsprogresspurrrR2jagsR2WinBUGSR6rbibutilsRColorBrewerRcppRcppEigenRdpackreadrreformulasrjagsrlangrlistS7scalesstringistringrtibbletidyselecttzdbutf8vctrsviridisLitevroomwithrXMLxml2yaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| mvnma: Brief overview of methods | mvnma-package |
| Auxiliary function to extract the Markov Chain Monte Carlo object | as.mcmc as.mcmc.mvnma |
| Forest plot for multivariate network meta-analysis results | forest.mvnma |
| Hasse diagram | hasse.mvrank |
| A heatplot to visualize the ranking in a multivariate network meta-analysis | heatplot.mvrank |
| Line chart showing the VIKOR results | linechart |
| Perform a Bayesian multivariate network meta-analysis using a single-correlation coefficient model | mvnma print.mvnma |
| Outcome-specific treatment rankings in multivariate network meta-analysis. | mvrank print.mvrank |
| Scatter plot to visualize the ranking of two outcomes in a multivariate network meta-analysis | plot.mvrank |
| Rank treatments across all outcomes using the spie chart method | spiechart spiechart.mvrank |
| Rank treatments across all outcomes using the VišeKriterijumska Optimizacija I Kompromisno Rešenje (VIKOR) multi-criteria decision analysis method | print.vikor vikor vikor.matrix vikor.mvrank |