petedodd/MCIR: Monte Carlo Inference Routines: A Collection of Generic Algorithms for Bayesian Inference
This package implements some Monte Carlo algorithms for Bayesian inference that require minimal tuning, including: automated factor slice sampling; affine-invariant ensemble sampling; No-U-Turn (NUTS) Hamiltonian Monte Carlo; and the MultiNest nested importance sampling algorithm.
Getting started
Browse package contents
Package details |
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| Maintainer | |
| License | TBC |
| Version | 0.0.0.9000 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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