Multiversal estimation for robust inference.
Project description
nrobust
A set of packages for a robust, certain and stable model space.
Note: At the minute its best ran from something like python -m src.nrobust.playground.py!
@TODO next: implement weighting and selection over the loaded outcome spaces
Project details
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
nrobust-0.0.1.dev1.tar.gz
(14.2 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 nrobust-0.0.1.dev1.tar.gz.
File metadata
- Download URL: nrobust-0.0.1.dev1.tar.gz
- Upload date:
- Size: 14.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c07b4a3e3e2ca0edd4ce943030f336960eea576d00e204a400cdff7b1958dfb0
|
|
| MD5 |
5089882aa2cce612f4bce34b94b5bcdc
|
|
| BLAKE2b-256 |
99a09da03d1576c91d10b432232c8b7fcf27e84ef9f77a1eaeb03fad24136ca9
|
File details
Details for the file nrobust-0.0.1.dev1-py3-none-any.whl.
File metadata
- Download URL: nrobust-0.0.1.dev1-py3-none-any.whl
- Upload date:
- Size: 13.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
760b345f20a72012107e3cea66bb9617316a9ba8ab9fe691db005c3c255eabcd
|
|
| MD5 |
fc0ee371c431353ccff2ecb49674022c
|
|
| BLAKE2b-256 |
0cec2c6712e8803ad92f0425886896af3b636fd944c9c19a556d13d74737f7f0
|