Predictive Clinical Neuroscience Toolkit
Predictive Clinical Neuroscience software toolkit (formerly nispat).
A Python package for normative modelling, spatial statistics and pattern recognition.
IMPORTANT
Deprecation warning
This is PCNtoolkit version 1.X.X, released originally in June 2025. Any scripts, models, and results created with version 0.X.X are not compatible with this and future versions of the toolkit.
To use the models created with versions 0.35 and earlier, please install the appropriate version using pip install pcntoolkit==0.35, or replace 0.35 with your desired version. The old version of the toolbox is also still available on GitHub.
Installation
pip install pcntoolkit
Documentation
See the documentation for more details.
Documentation for the earlier version of the toolbox is available here
Example usage
from pcntoolkit import {load_fcon, BLR, NormativeModel}
fcon1000 = load_fcon()
train, test = fcon1000.train_test_split()
# Create a BLR model with heteroskedastic noise
model = NormativeModel(BLR(heteroskedastic=True),
inscaler='standardize',
outscaler='standardize')
model.fit_predict(train, test)
Release files for pcntoolkit 1.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pcntoolkit-1.3.0.tar.gz | 119.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pcntoolkit-1.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 248.8 kB
Release files / pcntoolkit-1.3.0.tar.gz
| Download URL | pcntoolkit-1.3.0.tar.gz |
|---|---|
| Size | 119.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.13
|
Release files / pcntoolkit-1.3.0-py3-none-any.whl
| Download URL | pcntoolkit-1.3.0-py3-none-any.whl |
|---|---|
| Size | 129.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.13
|
