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:Lifeng Lin [aut, cre], Jing Zhang [aut], Haitao Chu [aut]

pcnetmeta_2.8.tar.gz
pcnetmeta_2.8.tar.gz(r-4.5-noble)pcnetmeta_2.8.tar.gz(r-4.4-noble)
pcnetmeta_2.8.tgz(r-4.4-emscripten)pcnetmeta_2.8.tgz(r-4.3-emscripten)
pcnetmeta.pdf |pcnetmeta.html
pcnetmeta/json (API)

# Install 'pcnetmeta' in R:
install.packages('pcnetmeta', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • 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.

jagscpp

2.04 score 1 stars 11 scripts 348 downloads 14 mentions 8 exports 3 dependencies

Last updated 2 years agofrom:ecc9ffd53a. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 16 2024
R-4.5-linuxOKDec 16 2024

Exports:absolute.plotcontrast.plotnma.ab.binnma.ab.contnma.ab.followupnma.ab.pynma.networkplotrank.prob

Dependencies:codalatticerjags