Package: bspmma 0.1-2
Deborah Burr
bspmma: Bayesian Semiparametric Models for Meta-Analysis
The main functions carry out Gibbs' sampler routines for nonparametric and semiparametric Bayesian models for random effects meta-analysis.
Authors:
bspmma_0.1-2.tar.gz
bspmma_0.1-2.tar.gz(r-4.5-noble)bspmma_0.1-2.tar.gz(r-4.4-noble)
bspmma_0.1-2.tgz(r-4.4-emscripten)bspmma_0.1-2.tgz(r-4.3-emscripten)
bspmma.pdf |bspmma.html✨
bspmma/json (API)
# Install 'bspmma' in R: |
install.packages('bspmma', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- breast.17 - Aspirin and Breast Cancer: 17 studies
- caprie.3grps - CAPRIE Study: Three Risk Groups
- ddtm.s - Decontamination of the Digestive Tract Mortality, Short Dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:bb8ccb0ba2. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 09 2024 |
R-4.5-linux | OK | Dec 09 2024 |
Exports:bf.cbf.c.obf.obf1bf2describe.postdirichlet.cdirichlet.odraw.bfdraw.post
Dependencies: