scikit-normod ============= Scikit-normod is a scientific library designed for normative modeling, offering a familiar scikit-learn-like API. This package facilitates the fitting and validation of normative models, the estimation of centiles, the transformation of data to z-scores, and the calculation of summary atypicality scores. .. warning:: The library is in its early development stages. Expect bugs, missing features, and breaking changes. .. warning:: Really Key Features ------------ .. grid:: 1 2 2 2 .. grid-item-card:: Models :columns: auto * Gaussian Homoskedastic * Ordinary Least Squares (OLS) * Generalized Additive Models (GAM) * Gaussian Heteroskedastic (Location-Scale): * Generalized Additive Models for Location Scale (GAMLS) * Location-Scale-Shape * Generalized Additive Models for Location Scale Shape (GAMLSS) * Meta-Regression * Gaussian Homoskedastic * Gaussian Heteroskedastic .. grid-item-card:: Model Methods :columns: auto * Estimate quantiles * Transform data to z-scores * Transform data to quantiles * *(not-implemented)* Quantiles and z-scores with uncertainity * *(not-implemented)* Transfer/recalibrate model to new sites .. grid-item-card:: Anomaly Detection :columns: auto * Various anomaly scores including mean-z, min/max-z, z-over-threshold, and others .. grid-item-card:: Validation :columns: auto * Whole Model * Logarithmic score * *(not-implemented)* AIC, BIC, GAIC * Calibration * Mean, standard deviation, skewness, kurtosis, W * *(not-implemented)* Diagnostic plots * *(untested, probably broken)* scikit-learn grid search etc. .. grid-item-card:: Ploting :columns: auto * Plot centiles (should be better) * *(not-implemented)* calibration plots: * worm-plots * bucket-plots * qq * pp * centiles/distribution .. grid-item-card:: scikit-learn Compatibility :columns: auto * Grid search, pipelines, CV scorers, etc. * In theory should work * In practice not-tested, probably broken, maybe eventually .. toctree:: :maxdepth: 2 :hidden: :titlesonly: auto_examples/index api