PyFCR is a robust Python package used for survival estimation procedure under the multivariate normal frailty model. It accommodates any number of competing risks and diverse configurations.
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Release files for PyFCR 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 | |
|---|---|---|---|
| PyFCR-1.3.tar.gz | 39.9 kB | Details |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| PyFCR-1.3-cp311-cp311-macosx_14_0_arm64.whl | CPython 3.11 | CPython 3.11 | macOS 14.0+ ARM64 | Details |
| PyFCR-1.3-cp310-cp310-win_amd64.whl | CPython 3.10 | CPython 3.10 | Windows x86-64 | Details |
Total release size: 484.4 kB
Release files / PyFCR-1.3.tar.gz
| Download URL | PyFCR-1.3.tar.gz |
|---|---|
| Size | 39.9 kB |
| Tags | Source |
|
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 |
twine/4.0.2 CPython/3.10.13
|
Release files / PyFCR-1.3-cp311-cp311-macosx_14_0_arm64.whl
| Download URL | PyFCR-1.3-cp311-cp311-macosx_14_0_arm64.whl |
|---|---|
| Size | 71.1 kB |
| Tags | CPython 3.11 macOS 14.0+ ARM64 |
|
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 |
twine/4.0.2 CPython/3.10.13
|
Release files / PyFCR-1.3-cp310-cp310-win_amd64.whl
| Download URL | PyFCR-1.3-cp310-cp310-win_amd64.whl |
|---|---|
| Size | 373.3 kB |
| Tags | CPython 3.10 Windows x86-64 |
|
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/4.0.2 CPython/3.10.13
|
