Rtwalk
An MCMC Sampler Using the t-Walk Algorithm
Implements the t-walk algorithm, a general-purpose, self-adjusting Markov Chain Monte Carlo (MCMC) sampler for continuous distributions as described by Christen & Fox (2010) <doi:10.1214/10-BA603>. The t-walk requires no tuning and is robust for a wide range of target distributions, including high-dimensional and multimodal problems. This implementation includes an option for running multiple chains in parallel to accelerate sampling and facilitate convergence diagnostics.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.0.1 |
rolling linux/jammy R-4.5 | Rtwalk_2.0.1.tar.gz |
147.8 KiB |
2.0.1 |
rolling linux/noble R-4.5 | Rtwalk_2.0.1.tar.gz |
147.6 KiB |
2.0.1 |
rolling source/ R- | Rtwalk_2.0.1.tar.gz |
106.6 KiB |
2.0.1 |
latest linux/jammy R-4.5 | Rtwalk_2.0.1.tar.gz |
147.8 KiB |
2.0.1 |
latest linux/noble R-4.5 | Rtwalk_2.0.1.tar.gz |
147.6 KiB |
2.0.1 |
latest source/ R- | Rtwalk_2.0.1.tar.gz |
106.6 KiB |
2.0.1 |
2026-04-26 source/ R- | Rtwalk_2.0.1.tar.gz |
106.6 KiB |
2.0.1 |
2026-04-23 source/ R- | Rtwalk_2.0.1.tar.gz |
106.6 KiB |
2.0.1 |
2026-04-09 windows/windows R-4.5 | Rtwalk_2.0.1.zip |
150.7 KiB |
1.8.0 |
2025-04-20 source/ R- | Rtwalk_1.8.0.tar.gz |
9.3 KiB |