mcmcsae
Markov Chain Monte Carlo Small Area Estimation
Fit multi-level models with possibly correlated random effects using Markov Chain Monte Carlo simulation. Such models allow smoothing over space and time and are useful in, for example, small area estimation.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.8.0 |
rolling source/ R- | mcmcsae_0.8.0.tar.gz |
365.7 KiB |
0.8.0 |
rolling linux/jammy R-4.5 | mcmcsae_0.8.0.tar.gz |
1.5 MiB |
0.8.0 |
latest source/ R- | mcmcsae_0.8.0.tar.gz |
365.7 KiB |
0.8.0 |
latest linux/jammy R-4.5 | mcmcsae_0.8.0.tar.gz |
1.5 MiB |
0.8.0 |
2026-04-23 source/ R- | mcmcsae_0.8.0.tar.gz |
365.7 KiB |
0.8.0 |
2026-04-09 windows/windows R-4.5 | mcmcsae_0.8.0.zip |
1.9 MiB |
0.7.8 |
2025-04-20 source/ R- | mcmcsae_0.7.8.tar.gz |
340.7 KiB |