Benchmarking imputation methods for microdata
Project description
Microimpute
Microimpute enables variable imputation through different statistical methods. It facilitates comparison and benchmarking across methods through quantile loss calculations.
To install, run pip install microimpute.
For image export functionality (PNG/JPG), install with: pip install microimpute[images]
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file microimpute-1.3.0.tar.gz.
File metadata
- Download URL: microimpute-1.3.0.tar.gz
- Upload date:
- Size: 78.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
55ba20c9240a0756350f934efaf9a8bcecc45133a9e60921d808bd3fc5b99a4e
|
|
| MD5 |
062942099ec8524912ed5cf8b365003f
|
|
| BLAKE2b-256 |
78d62ca9d02fc457153f18e40b191bb0b224219547d99ddb4203d02c2e747085
|
File details
Details for the file microimpute-1.3.0-py3-none-any.whl.
File metadata
- Download URL: microimpute-1.3.0-py3-none-any.whl
- Upload date:
- Size: 77.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fd7456fc9957473c096ca67a5d7615c59c0f2c9335a13f2465b8dd8761122e96
|
|
| MD5 |
4d281af8dadbad8652bb216bd389cef4
|
|
| BLAKE2b-256 |
5e79d4af56b8108a735aef573ac2db4623f2d16637456c54035ab93ea1c911eb
|
