Implements DREAM in Python based on PyMC for exploratory purposes
Project description
- A prototype based on the algorithm in
J.A. Vrugt, C.J.F. ter Braak, C.G.H. Diks, D. Higdon, B.A. Robinson, and J.M. Hyman: Accelerating Markov chain Monte Carlo simulation by differential evolution with self-adaptive randomized subspace sampling. International Journal of Nonlinear Sciences and Numerical Simulation, 2008, In Press.
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pymcdream-0.1.1.tar.gz.
File metadata
- Download URL: pymcdream-0.1.1.tar.gz
- Upload date:
- Size: 18.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
10881cb7f5bb316cf7be91275bfdc908d9c8fd26271fe2fc5e65324a10037ded
|
|
| MD5 |
a51915535d1786495fb3825597a382f6
|
|
| BLAKE2b-256 |
aa6d52dfa0eb9d3bdac14cef4b9fc2621217b9a334123866ddafaf5934fb615a
|
File details
Details for the file pymcdream-0.1.1-py2.5-macosx-10.3-i386.egg.
File metadata
- Download URL: pymcdream-0.1.1-py2.5-macosx-10.3-i386.egg
- Upload date:
- Size: 28.7 kB
- Tags: Egg
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3aceddd7557d34f008ad79dad982f470f99dd473227739017122c9c194c93dda
|
|
| MD5 |
dab168e6e5be190614f8b8bab2076106
|
|
| BLAKE2b-256 |
094069f7e1cd7070264673bfbc4123707a476fbe627f08d461bc5d90b7067713
|