turbustat.analysis.LenthsMethod(datafile, save_name=None, columns=None, rows=None, analysis_fcn='mean', statistics=['Wavelet', 'MVC', 'PSpec', 'Bispectrum', 'DeltaVariance', 'Genus', 'VCS', 'VCA', 'Tsallis', 'PCA', 'SCF', 'Cramer', 'Skewness', 'Kurtosis'])[source] [edit on github]¶Bases: object
This implements Lenth’s Method for use in the sensitivity analysis
Methods Summary
Methods Documentation
fit_model(model=None, verbose=False)[source] [edit on github]¶lenth(IER=2.3)[source] [edit on github]¶IER: Wu Hamada critical value 2.16 for 15 compared effect estimate with alpha 0.05 IER: Wu Hamada critical value 2.3 for 7 compared effect estimate with alpha 0.05
make_plots()[source] [edit on github]¶make_response_vectors()[source] [edit on github]¶run(model=None, verbose=False)[source] [edit on github]¶