Scaled Adaptive Metropolis SAMpler
Project description
samsam: Scaled Adaptive Metropolis SAMpler
Read the documentation at https://obswww.unige.ch/~delisle/samsam/doc/.
Contribute
Everyone is welcome to open issues and/or contribute code via pull-requests. A SWITCH edu-ID account is necessary to sign in to https://gitlab.unige.ch. If you don't have an account, you can easily create one at https://eduid.ch. Then you can sign in to https://gitlab.unige.ch by selecting "SWITCH edu-ID" as your organisation.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
samsam-1.0.6.tar.gz
(11.5 kB
view details)
File details
Details for the file samsam-1.0.6.tar.gz
.
File metadata
- Download URL: samsam-1.0.6.tar.gz
- Upload date:
- Size: 11.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.12.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c9d83f80cc7ba1c75843a7cd46a0fb14f7f80bb74634f03f065094f25f75b83d |
|
MD5 | abaa5a2c2c9b77b0e44679d230f24368 |
|
BLAKE2b-256 | 8141f62f6fa9d8b8f35a7faa0fdc327d54c695bf2f9042b316f402adf434da9e |