This package provides some simple Monte Carlo Markov kernel implementations.
Currently implemented:
- Random walk Metropolis
- Adaptive Metropolis
To be implemented in the future:
- Metropolis-adjusted Langevin
- Hamiltonian Monte Carlo
The package also provides implementations of some consistent asymptotic variance estimators:
- Batch means
- Spectral variance