Metadata-Version: 2.1
Name: inverted-encoding
Version: 0.0.13
Summary: Implementation of inverted encoding model as described in Scotti, Chen, & Golomb
Home-page: https://github.com/paulscotti/inverted_encoding
Author: Paul S. Scotti
Author-email: scottibrain@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: sklearn

# Inverted Encoding

Python package for easy implementation of inverted encoding modeling as described in Scotti, Chen, & Golomb (in-prep).

Contact: scottibrain@gmail.com (Paul Scotti)

---

## Installation 

Run the following to install:

```python
pip install inverted_encoding
```

---

## Usage

```python
from inverted_encoding import IEM, permutation

predictions, confidences, recons = IEM(trialbyvoxel,features,stim_max=180,is_circular=True)

null_mae_distribution = permutation(features,stim_max=180,num_perm=1000)
```



