Orange3-Survival-Analysis
Survival analysis add-on for the Orange data mining suite. It includes widgets for Kaplan–Meier analysis, Cox regression, survival nomograms, feature ranking, cohort construction, and tools to convert datasets into survival format—so you can go from exploring curves to validating risk models, all within Orange.
To learn how to use this add-on, see:
2 maintainers
Release files for Orange3-Survival-Analysis 0.6.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| orange3_survival_analysis-0.6.3.tar.gz | 4.0 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| orange3_survival_analysis-0.6.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.1 MB
Release files / orange3_survival_analysis-0.6.3.tar.gz
| Download URL | orange3_survival_analysis-0.6.3.tar.gz |
|---|---|
| Size | 4.0 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
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Release files / orange3_survival_analysis-0.6.3-py3-none-any.whl
| Download URL | orange3_survival_analysis-0.6.3-py3-none-any.whl |
|---|---|
| Size | 63.0 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 | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
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