Markov Chain Monte Carlo sampling toolkit.
Project description
- Bayesian estimation, particularly using Markov chain Monte Carlo (MCMC),
is an increasingly relevant approach to statistical estimation. However, few statistical software packages implement MCMC samplers, and they are non-trivial to code by hand. pymc is a python package that implements the Metropolis-Hastings algorithm as a python class, and is extremely flexible and applicable to a large suite of problems. pymc includes methods for summarizing output, plotting, goodness-of-fit and convergence diagnostics.
pymc only requires NumPy. All other dependencies such as matplotlib, SciPy, pytables, sqlite or mysql are optional.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pymc-2.3.5.tar.gz
(386.2 kB
view hashes)
Built Distributions
Close
Hashes for pymc-2.3.5.py34-macosx-x86_64.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | ccb7a9d566eba41a7da2999308b7c297bb66c39d73c96edb586a9402b508bb78 |
|
MD5 | 94042073b4506c2c43f48b535f8c37d8 |
|
BLAKE2b-256 | 0af27636302d73466ac2558c4974bce2f01ed98956a3b61484d91741f709979c |
Close
Hashes for pymc-2.3.5.py27-macosx-x86_64.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | e1711b7973668997a8f95acb88a95410ae2b43d415a3858f9f5f7775d4fec19f |
|
MD5 | 637111f19944625c5143b942be7721ec |
|
BLAKE2b-256 | 2b4c82c0145a94bc670f17acf6f0f96747e337cca4e3e3e3ea5e4f1fd7107ce4 |
Close
Hashes for pymc-2.3.5-py3.4-macosx-10.5-x86_64.egg
Algorithm | Hash digest | |
---|---|---|
SHA256 | 249e43ab69a0feaf3af15c6f76902c8a92c305d58da2123f09392043f3f64b7b |
|
MD5 | 2febf0867f808e2de7b9f7705774461d |
|
BLAKE2b-256 | 51e6bb5e6672f47d49f17e813f67193d47bfb012a7d73a7411b75d76bc825d21 |
Close
Hashes for pymc-2.3.5-py3.4-linux-x86_64.egg
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0e350c2658d36c1201f6c727b03b0e980c5134149e295d441d15944fc197e30f |
|
MD5 | fc9e42192d7c19d3896f15caac2f896a |
|
BLAKE2b-256 | 1245120d9388eda82f5430a05890101c8cd1a3806e81b49c6614e17902f9e759 |
Close
Hashes for pymc-2.3.5-py2.7-macosx-10.5-x86_64.egg
Algorithm | Hash digest | |
---|---|---|
SHA256 | debd108511b5bb1acb7f7525da17c508281f0a15ce9743e00f0c70fe44da0cfb |
|
MD5 | a0cd63b54138e684b11a8b2e550e7244 |
|
BLAKE2b-256 | 831debdba9f21fff2823d552eda35dcbd1a5595fdf9dfd646ba127974aec5ab9 |