This package is considered a duplicate. The official version of this package is found at:https://linlf.r-universe.dev/pcnetmeta
Package: pcnetmeta 2.8
Lifeng Lin
pcnetmeta: Patient-Centered Network Meta-Analysis
Performs Bayesian arm-based network meta-analysis for datasets with binary, continuous, and count outcomes (Zhang et al., 2014 <doi:10.1177/1740774513498322>; Lin et al., 2017 <doi:10.18637/jss.v080.i05>).
Authors:
pcnetmeta_2.8.tar.gz
pcnetmeta_2.8.tar.gz(r-4.7-any)pcnetmeta_2.8.tar.gz(r-4.6-any)
pcnetmeta_2.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
pcnetmeta/json (API)
| # Install 'pcnetmeta' in R: |
| install.packages('pcnetmeta', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Uses libs:
- 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
Datasets:
- diabetes - Network Meta-Ananlysis on Diabetes
- dietaryfat - Network Meta-Ananlysis on Dietary Fat
- parkinson - Network Meta-Ananlysis on Parkinson's Disease
- smoke - Network Meta-Analysis on Smoking Cessation Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:ecc9ffd53a. Checks:4 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 121 | ||
| source / vignettes | OK | 150 | ||
| linux-release-x86_64 | OK | 123 | ||
| wasm-release | OK | 95 |
Exports:absolute.plotcontrast.plotnma.ab.binnma.ab.contnma.ab.followupnma.ab.pynma.networkplotrank.prob
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Patient-Centered Network Meta-Analysis | pcnetmeta-package pcnetmeta |
| Plotting Treatment-Specific 95% Credible Intervals | absolute.plot |
| Contrast Plot of Relative Effect Measures | contrast.plot |
| Network Meta-Ananlysis on Diabetes | diabetes |
| Network Meta-Ananlysis on Dietary Fat | dietaryfat |
| Arm-Based Network Meta-Analysis for Binary Outcomes | nma.ab.bin |
| Arm-Based Network Meta-Analysis for Continuous Outcomes | nma.ab.cont |
| Arm-Based Network Meta-Analysis for Binary Outcomes with Follow-Up Times Reported | nma.ab.followup |
| Arm-Based Network Meta-Analysis for Count Datasets with Exposure Time in Person-Years Reported | nma.ab.py |
| Plotting Treatment Network | nma.networkplot |
| Network Meta-Ananlysis on Parkinson's Disease | parkinson |
| Plotting Treatment Rank Probabilities | rank.prob |
| Network Meta-Analysis on Smoking Cessation Data | smoke |
