tikreg: Tikhonov regression in Python
Project description
tikreg: Tikhonov regression in Python.
Tikhonov regression can be used to estimate encoding models with non-spherical multivariate normal priors. This framework is useful to model biological signals. This package was developed to analyze brain data collected using functional magnetic resonance imaging (fMRI). tikreg can also be used to model other neuroimaging signals (e.g. 2P, ECoG, etc) and LTI signals more generally.
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 tikreg-0.0.1.tar.gz.
File metadata
- Download URL: tikreg-0.0.1.tar.gz
- Upload date:
- Size: 38.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.7.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f8b6f024353f02d1321c054ec6fc70dceeaef2a7922cd39648f32f7909224b10
|
|
| MD5 |
a26411ab5809a8a1e86f4791de9cfd0f
|
|
| BLAKE2b-256 |
1dfbe0cb452aa7345282c7fee9d6cb2d2982cb332915a28df5584f66697b8a14
|
File details
Details for the file tikreg-0.0.1-py3-none-any.whl.
File metadata
- Download URL: tikreg-0.0.1-py3-none-any.whl
- Upload date:
- Size: 42.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.7.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6424ccb69de9a19817ef23de75b5e9642628b20a8dc6f1806c79eb4cd42181d9
|
|
| MD5 |
76b662d969005225bcca1ff849f81889
|
|
| BLAKE2b-256 |
10c951777525054b2bea244f602a5922e66ea8d34cab4d50c9bb068354187b14
|