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Image processing operations for SciJava Ops.
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/*-
* #%L
* Image processing operations for SciJava Ops.
* %%
* Copyright (C) 2014 - 2024 SciJava developers.
* %%
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* 1. Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
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* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
* ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR CONTRIBUTORS BE
* LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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* SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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package org.scijava.ops.image.stats;
import org.scijava.function.Computers;
import org.scijava.function.Functions;
import org.scijava.ops.spi.Nullable;
import org.apache.commons.math3.distribution.NormalDistribution;
/**
* @author Shulei Wang
* @author Ellen TA Dobson
* @author Curtis Rueden
* @author Edward Evans
* @implNote op names='stats.qnorm', priority='100.'
*/
public final class DefaultQNorm implements
Functions.Arity5
{
/**
* Op to calculate the quantile function for a normal distribution.
*
* @param p
* @param mean
* @param sd
* @param lowerTail
* @param logP
* @return quantiles for input probaility
*/
@Override
public Double apply(Double p, @Nullable Double mean, @Nullable Double sd,
@Nullable Boolean lowerTail, @Nullable Boolean logP)
{
// set mean if necessary
if (mean == null) mean = 0.0;
// set sd if necessary
if (sd == null) sd = 1.0;
// set lowerTail if necessary
if (lowerTail == null) lowerTail = true;
// set logP if necessary
if (logP == null) logP = false;
// check the bounds of p
if (p < 0 || p > 1) {
return Double.NaN;
}
if (p == 0 || p == 1) {
return Double.POSITIVE_INFINITY;
}
// compute QNorm
final NormalDistribution dist = new NormalDistribution(mean, sd);
if (logP) p = Math.exp(p);
final double q = dist.inverseCumulativeProbability(p);
return lowerTail ? q : -q;
}
}
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