The aim is to address measurement error effects in regression models, and employ boosting procedure to do variable selection and estimation.
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Release files for Boosting-Probit 0.0.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| Boosting_Probit-0.0.1.tar.gz | 3.2 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| Boosting_Probit-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.8 kB
Release files / Boosting_Probit-0.0.1.tar.gz
| Download URL | Boosting_Probit-0.0.1.tar.gz |
|---|---|
| Size | 3.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2
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Release files / Boosting_Probit-0.0.1-py3-none-any.whl
| Download URL | Boosting_Probit-0.0.1-py3-none-any.whl |
|---|---|
| Size | 3.6 kB |
| Tags | Python 3 |
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twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2
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Security for Boosting-Probit 0.0.1
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