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.
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
microimpute-0.2.3.tar.gz
(50.4 kB
view details)
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-0.2.3.tar.gz.
File metadata
- Download URL: microimpute-0.2.3.tar.gz
- Upload date:
- Size: 50.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
767547ce1037ccb0860096f64e0f12385de266462c323f0a11f3c850fc66d866
|
|
| MD5 |
0f21f31df49e82f8de10bfb0f4c25e2b
|
|
| BLAKE2b-256 |
5e0e8877eae2f715ca8b679e18a21805e606d78229bf3495f6e92c3374e27842
|
File details
Details for the file microimpute-0.2.3-py3-none-any.whl.
File metadata
- Download URL: microimpute-0.2.3-py3-none-any.whl
- Upload date:
- Size: 70.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
16871f08c73ce6d23d3d3338fa8521170faeb2a406ea81e4194fc0741352ddc1
|
|
| MD5 |
40e7a3f81102801128d757d64cec5209
|
|
| BLAKE2b-256 |
9f1d3a94a41f10c6b24d377496bf86711b65ee6d4fcd1fd09c5d998c5458fdf4
|
