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correlated-ts-ci 0.2.0 package intelligence

Estimate confidence intervals in means of correlated time series with a small number of effective samples (like molecular dynamics simulations). If your time series is long enough that the standard error levels off completely as a function of block length, then this method is ove

pip install correlated-ts-ci

Current version
0.2.0
Python requirement
>=3.9,<4.0
License
GPL-3.0-or-later
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
40.7 KiB
Release history
7 releases with files
Median release cadence
15 days

correlated-ts-ci dependencies

PyPI declares 4 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. arch >=4.16.1,<5.0.0
  2. joblib >=0.17.0
  3. lmfit >=1.0.2,<2.0.0
  4. numpy >=1.2,<2.0

Compatibility and release files

correlated-ts-ci publishes 1 wheel and 1 source archive for version 0.2.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.9.

Metadata completeness

PyPI does not currently declare: project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 7 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

The project does not publish external project URLs in its PyPI metadata.