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getCircDiff()
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Calculate circular difference |
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predictIntensity()
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Calculate time-dependent mean |
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zeitzeiger()
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Train and test a ZeitZeiger predictor |
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zeitzeigerBatch()
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Train and test a ZeitZeiger predictor, accounting for batch effects |
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zeitzeigerEnsembleLikelihood()
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Combine predictions into an ensemble using the log-likelihood |
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zeitzeigerEnsembleMean()
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Combine predictions into an ensemble using the circular mean |
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zeitzeigerExtrema()
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Estimate peaks and troughs |
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zeitzeigerFit()
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Fit a periodic spline for each feature |
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zeitzeigerFitCv()
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Fit a periodic spline for each feature on cross-validation |
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zeitzeigerPredict()
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Predict corresponding time for test observations |
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zeitzeigerPredictCv()
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Predict corresponding time for observations on cross-validation |
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zeitzeigerPredictGroup()
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Predict corresponding time for groups of test observations |
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zeitzeigerPredictGroupCv()
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Predict corresponding time for groups of observations on cross-validation |
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zeitzeigerProp()
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Calculate the rhythmic properties of each feature |
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zeitzeigerSig()
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Estimate significance of periodicity by permutation testing |
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zeitzeigerSnr()
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Calculate the signal-to-noise of the periodic spline fits |
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zeitzeigerSpc()
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Calculate sparse principal components of time-dependent variation |
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zeitzeigerSpcCv()
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Calculate sparse principal components of time-dependent variation on cross-validation |