Metadata-Version: 2.1
Name: glmdenoise
Version: 0.0.5
Summary: Python GLMdenoise
Home-page: https://github.com/Charestlab/pyGLMdenoise
Maintainer: Jasper van den Bosch
Maintainer-email: vandejjf@bham.ac.uk
License: UNKNOWN
Keywords: neuroscience
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Development Status :: 1 - Planning
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)
Classifier: Topic :: Scientific/Engineering
Classifier: Intended Audience :: Science/Research
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: sklearn
Requires-Dist: matplotlib
Requires-Dist: twine
Requires-Dist: sphinx
Requires-Dist: seaborn
Requires-Dist: pybids (==0.8.0)
Requires-Dist: duecredit
Requires-Dist: ww
Requires-Dist: numba
Requires-Dist: tqdm
Requires-Dist: joblib
Requires-Dist: datalad
Requires-Dist: imageio

# pyGLMdenoise
python implementation of GLMdenoise

[full documentation](http://glmdenoise.readthedocs.io/)


### Installation

```sh
pip install glmdenoise
```

### Usage

##### Python

```python
from glmdenoise import GLMdenoise
gd = GLMdenoise()
gd.fit(design, data, tr=2.0)
gd.plot_figures()
```

##### Console

```sh
glmdenoise /my/data/dir
```

##### Public dataset

```sh
glmdenoise ///workshops/nih-2017/ds000114
```

### Unit tests

To run the unit tests:

```sh
python setup.py tests -q
```


