mirror of https://github.com/jlizier/jidt
Added utilities to convert between estimate values and p-values for an analytic null distribution in bulk (array calls)
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@ -76,6 +76,21 @@ public abstract class AnalyticMeasurementDistribution extends MeasurementDistrib
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*/
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public abstract double computePValueForGivenEstimate(double estimate);
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/**
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* Computes p-values corresponding to a set of estimates, each done via
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* {@link #computePValueForGivenEstimate(double)}
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*
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* @param estimates array of estimates to return corresponding p-values for.
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* @return
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*/
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public double[] computePValuesForGivenEstimates(double[] estimates) {
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double[] pValues = new double[estimates.length];
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for (int i = 0; i < estimates.length; i++) {
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pValues[i] = computePValueForGivenEstimate(estimates[i]);
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}
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return estimates;
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}
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/**
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* Compute the estimated observed measured value corresponding to
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* a given p-value
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@ -107,9 +122,25 @@ public abstract class AnalyticMeasurementDistribution extends MeasurementDistrib
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* Physical Review Letters, <b>109</b>, p. 138105+ (2012).</li>
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* </ul>
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*
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* @param pValue the sample p-value for the given channel measure score under this null hypothesis.
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* @return the estimate of the channel measure score corresponding to
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* the given p-value under this null hypothesis.
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* @throws Exception
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*/
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public abstract double computeEstimateForGivenPValue(double pValue);
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/**
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* Computes estimates corresponding to a set of p-values, each done via
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* {@link #computeEstimateForGivenPValue(double)}
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*
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* @param pValues array of p-values to return corresponding estimates for.
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* @return
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*/
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public double[] computeEstimatesForGivenPValues(double[] pValues) {
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double[] estimates = new double[pValues.length];
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for (int i = 0; i < pValues.length; i++) {
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estimates[i] = computeEstimateForGivenPValue(pValues[i]);
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}
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return estimates;
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}
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}
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