Rmodule
Automated Markov Chain Monte Carlo for Arbitrarily Structured Correlation Matrices
Supports automated Markov chain Monte Carlo for arbitrarily structured correlation matrices. The user supplies data, a correlation matrix in symbolic form, the current state of the chain, a function that computes the log likelihood, and a list of prior distributions. The package's flagship function then carries out a parameter-at-a-time update of all correlation parameters, and returns the new state. The method is presented in Hughes (2023), in preparation.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0 |
rolling linux/jammy R-4.5 | Rmodule_1.0.tar.gz |
209.1 KiB |
1.0 |
rolling linux/noble R-4.5 | Rmodule_1.0.tar.gz |
210.0 KiB |
1.0 |
rolling source/ R- | Rmodule_1.0.tar.gz |
163.7 KiB |
1.0 |
latest linux/jammy R-4.5 | Rmodule_1.0.tar.gz |
209.1 KiB |
1.0 |
latest linux/noble R-4.5 | Rmodule_1.0.tar.gz |
210.0 KiB |
1.0 |
latest source/ R- | Rmodule_1.0.tar.gz |
163.7 KiB |
1.0 |
2026-04-26 source/ R- | Rmodule_1.0.tar.gz |
163.7 KiB |
1.0 |
2026-04-23 source/ R- | Rmodule_1.0.tar.gz |
163.7 KiB |
1.0 |
2026-04-09 windows/windows R-4.5 | Rmodule_1.0.zip |
530.3 KiB |
1.0 |
2025-04-20 source/ R- | Rmodule_1.0.tar.gz |
163.7 KiB |