Overview
What does this package do?
This package is designed to support various methods for statistical analysis. In particular, we hope to offer tools for computing Shapley effects and Proportional Marginal Effects (PMEs) for a variety of models.
Current features
The gsapme package is a work in progress. We currently support the following features:
Simulation
- Computation of conditional multivariate normal distributions (
conditional_mvn) - Conditional simulations from a multivariate normal distribution (
cond_sim)
Example Models
- Ishigami function (
ishigami_mod) - Borehole function (
borehole_function)
Analysis
- Computation of Shapley effects for a given model (
calculate_shapley_effects_np) - Computation of Proportional Marginal Effects (PMEs) for a given model (
calculatePME)
1 maintainer
Metadata
1 maintainer
Release files for gsapme 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gsapme-0.1.3.tar.gz | 6.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gsapme-0.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.7 kB
Release files / gsapme-0.1.3.tar.gz
| Download URL | gsapme-0.1.3.tar.gz |
|---|---|
| Size | 6.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.8.2 CPython/3.9.13 Darwin/23.5.0
|
Release files / gsapme-0.1.3-py3-none-any.whl
| Download URL | gsapme-0.1.3-py3-none-any.whl |
|---|---|
| Size | 8.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.8.2 CPython/3.9.13 Darwin/23.5.0
|
