Implemenation of the PQMass two sample test from Lemos et al. 2024
Project description
PQM
Implementation of the PQMass two sample test from Lemos et al. 2024
Usage
from pqm import pqm_pvalue
import numpy as np
x_sample = np.random.normal(size = (500, 10))
y_sample = np.random.normal(size = (400, 10))
pvalues = pqm_pvalue(x_sample, y_sample, num_refs = 100, bootstrap = 50)
print(np.mean(pvalues), np.std(pvalues))
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
pqm-0.1.1.tar.gz
(4.8 kB
view details)
Built Distribution
pqm-0.1.1-py3-none-any.whl
(4.9 kB
view details)
File details
Details for the file pqm-0.1.1.tar.gz.
File metadata
- Download URL: pqm-0.1.1.tar.gz
- Upload date:
- Size: 4.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.0.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 33a6633c447f93cbd83ec255b9621d351fc72ff847b2f6dc326cd2d7f9cca212 |
|
| MD5 | 4a0c93063f883e1de04685a6ce11947c |
|
| BLAKE2b-256 | 28537cb1b2bcc93aca2d9c1400ba39af3027fedbab7a320d41b0c44d0d1094f7 |
File details
Details for the file pqm-0.1.1-py3-none-any.whl.
File metadata
- Download URL: pqm-0.1.1-py3-none-any.whl
- Upload date:
- Size: 4.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.0.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | f2ed306d0a5a556aa614b60d5a47ec911aa2f3cfa78facfba63d60b4ca948e93 |
|
| MD5 | 0ec8aa5f99b0d0266bf209b1819674b0 |
|
| BLAKE2b-256 | ef7beb9f4fda30a900e4e68c21c4a6f538f35f72880fa092c8aba89704cff1a5 |
