Factual package intelligence from PyPI

jump-diffusion-estimation 0.2.2 package intelligence

Simulation and maximum-likelihood estimation of jump-diffusion processes with pluggable asymmetric, heavy-tailed jump distributions, plus likelihood-based inference and a test for the presence of jump

pip install jump-diffusion-estimation

Current version
0.2.2
Python requirement
>=3.8
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
91.8 KiB
Release history
3 releases with files
Median release cadence
2 days

jump-diffusion-estimation dependencies

PyPI declares 23 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.20.0
  2. scipy >=1.7.0
  3. matplotlib >=3.3.0
  4. seaborn >=0.11.0
  5. pandas >=1.3.0
  6. scikit-learn >=1.0.0
  7. tqdm >=4.60.0

The compact report shows 12 of 23 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

jump-diffusion-estimation publishes 1 wheel and 1 source archive for version 0.2.2. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.8, 3.9.

Security snapshot for jump-diffusion-estimation 0.2.2

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Release activity and sources

PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .