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 linux/jammy R-4.5 | mcmcsae_0.8.0.tar.gz |
1.5 MiB |
0.8.0 |
rolling linux/noble R-4.5 | mcmcsae_0.8.0.tar.gz |
1.6 MiB |
0.8.0 |
rolling 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 |
latest linux/noble R-4.5 | mcmcsae_0.8.0.tar.gz |
1.6 MiB |
0.8.0 |
latest source/ R- | mcmcsae_0.8.0.tar.gz |
365.7 KiB |
0.8.0 |
2026-04-26 source/ R- | mcmcsae_0.8.0.tar.gz |
365.7 KiB |
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 |