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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1-2 |
rolling linux/jammy R-4.5 | bspmma_0.1-2.tar.gz |
117.2 KiB |
0.1-2 |
rolling linux/noble R-4.5 | bspmma_0.1-2.tar.gz |
116.9 KiB |
0.1-2 |
rolling source/ R- | bspmma_0.1-2.tar.gz |
21.7 KiB |
0.1-2 |
latest linux/jammy R-4.5 | bspmma_0.1-2.tar.gz |
117.2 KiB |
0.1-2 |
latest linux/noble R-4.5 | bspmma_0.1-2.tar.gz |
116.9 KiB |
0.1-2 |
latest source/ R- | bspmma_0.1-2.tar.gz |
21.7 KiB |
0.1-2 |
2026-04-26 source/ R- | bspmma_0.1-2.tar.gz |
21.7 KiB |
0.1-2 |
2026-04-23 source/ R- | bspmma_0.1-2.tar.gz |
21.7 KiB |
0.1-2 |
2026-04-09 windows/windows R-4.5 | bspmma_0.1-2.zip |
120.5 KiB |
0.1-2 |
2025-04-20 source/ R- | bspmma_0.1-2.tar.gz |
21.7 KiB |