API
- ALM
- Formula
- Selection
- Measures
- Association
- Half-Moments
- Quantile Measures
- Xreg
- Transforms
- Distributions
dalaplace()dbcnorm()dbeta()dbinom()dchi2()dexp()dfnorm()dgamma()dgeom()dgnorm()dinvgauss()dlaplace()dlgnorm()dllaplace()dlnorm()dlogis()dlogitnorm()dls()dnbinom()dnorm()dpois()drectnorm()ds()dt()palaplace()pbcnorm()pbeta()pbinom()pchi2()pexp()pfnorm()pgamma()pgeom()pgnorm()pinvgauss()plaplace()plnorm()plogis()plogitnorm()pnbinom()pnorm()ppois()prectnorm()ps()pt()qalaplace()qbcnorm()qbeta()qbinom()qchi2()qexp()qfnorm()qgamma()qgeom()qgnorm()qinvgauss()qlaplace()qlgnorm()qllaplace()qlnorm()qlogis()qlogitnorm()qls()qnbinom()qnorm()qpois()qrectnorm()qs()qt()ralaplace()rbcnorm()rbeta()rbinom()rchi2()rexp()rfnorm()rgamma()rgeom()rgnorm()rinvgauss()rlaplace()rlogis()rlogitnorm()rnbinom()rpois()rrectnorm()rs()rt()
Core Classes
greybox.ALM- Augmented Linear Model estimatorgreybox.formula- Formula parsing functiongreybox.expand_formula- Formula expansion functiongreybox.bc_transform- Box-Cox transformationgreybox.bc_transform_inv- Inverse Box-Cox transformationgreybox.mean_fast- Trimmed/hubered mean
Model Selection
greybox.stepwise()- Stepwise IC-based variable selectiongreybox.CALM()- Combine ALM models based on IC weights
Accuracy Measures
greybox.measures.MAE()- Mean Absolute Errorgreybox.measures.MSE()- Mean Squared Errorgreybox.measures.RMSE()- Root Mean Squared Errorgreybox.measures.MAPE()- Mean Absolute Percentage Errorgreybox.measures.MASE()- Mean Absolute Scaled Error
Association Measures
greybox.association- Association and correlation measures
Half-Moments
greybox.hm- Half-moment functions
Quantile Measures
greybox.quantile_measures- Pinball loss and interval scores
Variable Processing
greybox.xreg.xreg_expander()- Lag/lead expansiongreybox.xreg.xreg_multiplier()- Cross-product generationgreybox.xreg.temporal_dummy()- Temporal dummy variables