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Author:
Derrode Stéphane
Summary:
Pairwise and hidden Markov chains with copula-based non-Gaussian dependence: simulation, supervised and unsupervised classification (ICE, SEM, GICE), automatic copula selection, missing-data imputation and forecasting, PyQt6 GUI.
Latest version:
1.6.1
Required dependencies:
matplotlib
|
numpy
|
scipy
|
tomli-w
Optional dependencies:
ipykernel
|
mkdocs
|
mkdocs-material
|
mkdocstrings
|
mkdocstrings-python
|
mpmath
|
nbclient
|
nbformat
|
pillow
|
pyqt6
|
pytest
|
pytest-cov
|
pytest-xdist
|
ruff
|
scikit-learn
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