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]

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pcnetmeta/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

jagscpp

2.00 score 1 stars 366 downloads 14 mentions 8 exports 3 dependencies

Last updated 3 years agofrom:ecc9ffd53a. Checks:3 OK. Indexed: no.

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Doc / VignettesOKMar 26 2025
R-4.5-linuxOKMar 26 2025
R-4.4-linuxOKMar 26 2025

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

Dependencies:codalatticerjags

Citation

To cite pcnetmeta in publications use:

Lifeng Lin, Jing Zhang, James S. Hodges, Haitao Chu (2017). Performing Arm-Based Network Meta-Analysis in R with the pcnetmeta Package. Journal of Statistical Software, 80(5), 1-25.<doi:10.18637/jss.v080.i05>

Corresponding BibTeX entry: 

  @Article{,
    title = {Performing Arm-Based Network Meta-Analysis in {R} with the
      {pcnetmeta} Package},
    author = {Lifeng Lin and Jing Zhang and James S. Hodges and Haitao
      Chu},
    journal = {Journal of Statistical Software},
    year = {2017},
    volume = {80},
    number = {5},
    pages = {1--25},
    doi = {10.18637/jss.v080.i05},
  }