Package: metapack 0.3
metapack: Bayesian Meta-Analysis and Network Meta-Analysis
Contains functions performing Bayesian inference for meta-analytic and network meta-analytic models through Markov chain Monte Carlo algorithm. Currently, the package implements Hui Yao, Sungduk Kim, Ming-Hui Chen, Joseph G. Ibrahim, Arvind K. Shah, and Jianxin Lin (2015) <doi:10.1080/01621459.2015.1006065> and Hao Li, Daeyoung Lim, Ming-Hui Chen, Joseph G. Ibrahim, Sungduk Kim, Arvind K. Shah, Jianxin Lin (2021) <doi:10.1002/sim.8983>. For maximal computational efficiency, the Markov chain Monte Carlo samplers for each model, written in C++, are fine-tuned. This software has been developed under the auspices of the National Institutes of Health and Merck & Co., Inc., Kenilworth, NJ, USA.
Authors:
metapack_0.3.tar.gz
metapack_0.3.tar.gz(r-4.5-noble)metapack_0.3.tar.gz(r-4.4-noble)
metapack_0.3.tgz(r-4.4-emscripten)metapack_0.3.tgz(r-4.3-emscripten)
metapack.pdf |metapack.html✨
metapack/json (API)
NEWS
# Install 'metapack' in R: |
install.packages('metapack', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/daeyounglim/metapack/issues
- TNM - Triglycerides Network Meta (TNM) data
- cholesterol - 26 double-blind, randomized, active, or placebo-controlled clinical trials on patients with primary hypercholesterolemia sponsored by Merck & Co., Inc., Kenilworth, NJ, USA.
Last updated 11 months agofrom:8c5a49a5b0. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 20 2024 |
R-4.5-linux-x86_64 | OK | Nov 20 2024 |
Exports:bayes_nmrbayes_parobsbmeta_analysebmeta_analyzehpdmodel_compnssucra
Dependencies:BHclicolorspacefansifarverFormulaggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadilloRcppProgressrlangscalestibbleutf8vctrsviridisLitewithr