PTE Stats is an open-source software package for statistics with time series.
It builds upon PTE and provides statistical tools for time-series. PTE Stats is particularly useful with intracranial EEG data such as local field potentials and electrocorticography.
To install the latest stable release, simply type:
$ pip install pte-statsTo install the latest development version, first clone this repository:
$ git clone https://github.com/richardkoehler/pte-statsIf you are using conda, simply run:
$ conda env create -f env.yml
$ conda activate pte-statsIf you want to install pte-stats into an existing environment, type:
$ pip install -e .import pte_statsPlease feel free to contribute yourselves or to open an issue when you encounter a bug or to request a new feature.
For any minor additions or bugfixes, you may simply create a pull request.
For any major changes, make sure to open an issue first. When you then create a pull request, be sure to link the pull request to the open issue in order to close the issue automatically after merging.
To contribute yourselves, you should fork this repository, and then create a development branch from your fork.
Then, inside your development branch run the commands:
$ conda env create -f env_dev.yml
$ conda activate pte-stats-dev... or simply:
$ pip install -e .[dev]This will additionally install packages for development, such as black, pylint, mypy and isort.
PTE Stats is licensed under the MIT license.