Welcome to gemmr’s documentation!¶
gemmr (short for GEnerative Modeling of Multivariate Relationships) calculates sample sizes required to run a canonical correlation analysis (CCA) or partial least squares (PLS). To that end, it also provides
- scikit-learn-style estimators for CCA and PLS,
- a scikit-learn-style Python wrapper for PMA, a sparse CCA implementation
- functionality to generate synthetic data for use with CCA and PLS, and
- code to determine their parameter dependencies.