Automatically store/load data in a tidy, efficient way. Includes functions for data visualization and analysis.
For people that have to compute and store a large variety of data and/or perform statistical inference. Check the tidypath and PhD-utils slides for an overview.
Don't spend time creating directories, deciding filenames, saving, loading, etc. Decorators savefig & savedata will do it for you with optimal compression. More info at the tidypath repository.
The module phdu.resample allows calls to the resample R package.
phdu.stats.bootstrap for numba-accelerated computation (does not call resample).Calculate the power for accepting H0 and estimate the needed sample size.
Function power_analysis in phdu.stats.bootstrap follows Efron-Tshibirani: An introduction to the bootstrap, p. 381-384.
Module phdu.stats.tests.permutation.
For the R compatible installation first install R:
conda install -c conda-forge r r-essentials r-base
Install with dependencies:
pip install phdu[dependencies]
Where dependencies can be base (recommended), all, r (needed for resample to work), statsmodels, matplotlib or plotly.
FAQs
Automatically store/load data in a tidy, efficient way. Includes functions for data visualization and analysis.
We found that phdu demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
npm now supports Trusted Publishing with OIDC, enabling secure package publishing directly from CI/CD workflows without relying on long-lived tokens.
Research
/Security News
A RubyGems malware campaign used 60 malicious packages posing as automation tools to steal credentials from social media and marketing tool users.
Security News
The CNA Scorecard ranks CVE issuers by data completeness, revealing major gaps in patch info and software identifiers across thousands of vulnerabilities.