本文整理了Java中org.apache.commons.math3.special.Gamma.regularizedGammaQ()方法的一些代码示例，展示了Gamma.regularizedGammaQ()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。Gamma.regularizedGammaQ()方法的具体详情如下：
包路径：org.apache.commons.math3.special.Gamma
类名称：Gamma
方法名：regularizedGammaQ

Gamma.regularizedGammaQ介绍

[英]Returns the regularized gamma function Q(a, x) = 1 - P(a, x).
[中]返回正则化伽马函数Q（a，x）=1-P（a，x）。

代码示例

代码示例来源：origin: org.apache.commons/commons-math3

/** {@inheritDoc} */
public double cumulativeProbability(int x) {
  if (x < 0) {
    return 0;
  }
  if (x == Integer.MAX_VALUE) {
    return 1;
  }
  return Gamma.regularizedGammaQ((double) x + 1, mean, epsilon,
                  maxIterations);
}

代码示例来源：origin: org.apache.commons/commons-math3

/**
 * Returns the regularized gamma function Q(a, x) = 1 - P(a, x).
 *
 * @param a the a parameter.
 * @param x the value.
 * @return the regularized gamma function Q(a, x)
 * @throws MaxCountExceededException if the algorithm fails to converge.
 */
public static double regularizedGammaQ(double a, double x) {
  return regularizedGammaQ(a, x, DEFAULT_EPSILON, Integer.MAX_VALUE);
}

代码示例来源：origin: org.apache.commons/commons-math3

/**
 * Returns the complementary error function.
 *
 * <p>erfc(x) = 2/&radic;&pi; <sub>x</sub>&int;<sup>&infin;</sup> e<sup>-t<sup>2</sup></sup>dt
 * <br/>
 *    = 1 - {@link #erf(double) erf(x)} </p>
 *
 * <p>This implementation computes erfc(x) using the
 * {@link Gamma#regularizedGammaQ(double, double, double, int) regularized gamma function},
 * following <a href="http://mathworld.wolfram.com/Erf.html"> Erf</a>, equation (3).</p>
 *
 * <p>The value returned is always between 0 and 2 (inclusive).
 * If {@code abs(x) > 40}, then {@code erf(x)} is indistinguishable from
 * either 0 or 2 as a double, so the appropriate extreme value is returned.
 * </p>
 *
 * @param x the value
 * @return the complementary error function erfc(x)
 * @throws org.apache.commons.math3.exception.MaxCountExceededException
 * if the algorithm fails to converge.
 * @see Gamma#regularizedGammaQ(double, double, double, int)
 * @since 2.2
 */
public static double erfc(double x) {
  if (FastMath.abs(x) > 40) {
    return x > 0 ? 0 : 2;
  }
  final double ret = Gamma.regularizedGammaQ(0.5, x * x, 1.0e-15, 10000);
  return x < 0 ? 2 - ret : ret;
}

代码示例来源：origin: org.apache.commons/commons-math3

ret = 1.0 - regularizedGammaQ(a, x, epsilon, maxIterations);
} else {

代码示例来源：origin: io.virtdata/virtdata-lib-realer

/**
 * Returns the regularized gamma function Q(a, x) = 1 - P(a, x).
 *
 * @param a the a parameter.
 * @param x the value.
 * @return the regularized gamma function Q(a, x)
 * @throws MaxCountExceededException if the algorithm fails to converge.
 */
public static double regularizedGammaQ(double a, double x) {
  return regularizedGammaQ(a, x, DEFAULT_EPSILON, Integer.MAX_VALUE);
}

代码示例来源：origin: io.virtdata/virtdata-lib-realer

/** {@inheritDoc} */
public double cumulativeProbability(int x) {
  if (x < 0) {
    return 0;
  }
  if (x == Integer.MAX_VALUE) {
    return 1;
  }
  return Gamma.regularizedGammaQ((double) x + 1, mean, epsilon,
                  maxIterations);
}

代码示例来源：origin: geogebra/geogebra

/** {@inheritDoc} */
public double cumulativeProbability(int x) {
  if (x < 0) {
    return 0;
  }
  if (x == Integer.MAX_VALUE) {
    return 1;
  }
  return Gamma.regularizedGammaQ((double) x + 1, mean, epsilon,
                  maxIterations);
}

代码示例来源：origin: geogebra/geogebra

/**
 * Returns the regularized gamma function Q(a, x) = 1 - P(a, x).
 *
 * @param a the a parameter.
 * @param x the value.
 * @return the regularized gamma function Q(a, x)
 * @throws MaxCountExceededException if the algorithm fails to converge.
 */
public static double regularizedGammaQ(double a, double x) {
  return regularizedGammaQ(a, x, DEFAULT_EPSILON, Integer.MAX_VALUE);
}

代码示例来源：origin: pcingola/SnpEff

/**
 * Upper tail 1 - ChiSquareCDF(p)
 * @param chiSquare
 * @param nu
 * @return
 */
public static double chiSquareCDFComplementary(double chiSquare, int nu) {
  if (nu <= 0) throw new IllegalArgumentException("The degrees of freedom [nu], " + nu + ", must be greater than zero");
  return Gamma.regularizedGammaQ(nu / 2.0D, chiSquare / 2.0D);
}

代码示例来源：origin: pcingola/SnpEff

/**
 * Chi-Square Complementary of Cumulative Distribution Function: 1 -  chiSquareCDF(x, nu)
 * probability that an observed chi-square value
 * for a correct model should be greater than chiSquare
 * nu  =  the degrees of freedom
 *
 * @param chiSquare
 * @param nu
 * @return
 */
public double chiSquareCDFComplementary(double chiSquare, int nu) {
  if (nu <= 0) throw new IllegalArgumentException("The degrees of freedom [nu], " + nu + ", must be greater than zero");
  return Gamma.regularizedGammaQ(nu / 2.0D, chiSquare / 2.0D);
}

代码示例来源：origin: geogebra/geogebra

/**
 * Returns the complementary error function.
 *
 * <p>erfc(x) = 2/&radic;&pi; <sub>x</sub>&int;<sup>&infin;</sup> e<sup>-t<sup>2</sup></sup>dt
 * <br/>
 *    = 1 - {@link #erf(double) erf(x)} </p>
 *
 * <p>This implementation computes erfc(x) using the
 * {@link Gamma#regularizedGammaQ(double, double, double, int) regularized gamma function},
 * following <a href="http://mathworld.wolfram.com/Erf.html"> Erf</a>, equation (3).</p>
 *
 * <p>The value returned is always between 0 and 2 (inclusive).
 * If {@code abs(x) > 40}, then {@code erf(x)} is indistinguishable from
 * either 0 or 2 as a double, so the appropriate extreme value is returned.
 * </p>
 *
 * @param x the value
 * @return the complementary error function erfc(x)
 * @throws org.apache.commons.math3.exception.MaxCountExceededException
 * if the algorithm fails to converge.
 * @see Gamma#regularizedGammaQ(double, double, double, int)
 * @since 2.2
 */
public static double erfc(double x) {
  if (Math.abs(x) > 40) {
    return x > 0 ? 0 : 2;
  }
  final double ret = Gamma.regularizedGammaQ(0.5, x * x, 1.0e-15, 10000);
  return x < 0 ? 2 - ret : ret;
}

代码示例来源：origin: io.virtdata/virtdata-lib-realer

/**
 * Returns the complementary error function.
 *
 * <p>erfc(x) = 2/&radic;&pi; <sub>x</sub>&int;<sup>&infin;</sup> e<sup>-t<sup>2</sup></sup>dt
 * <br/>
 *    = 1 - {@link #erf(double) erf(x)} </p>
 *
 * <p>This implementation computes erfc(x) using the
 * {@link Gamma#regularizedGammaQ(double, double, double, int) regularized gamma function},
 * following <a href="http://mathworld.wolfram.com/Erf.html"> Erf</a>, equation (3).</p>
 *
 * <p>The value returned is always between 0 and 2 (inclusive).
 * If {@code abs(x) > 40}, then {@code erf(x)} is indistinguishable from
 * either 0 or 2 as a double, so the appropriate extreme value is returned.
 * </p>
 *
 * @param x the value
 * @return the complementary error function erfc(x)
 * @throws org.apache.commons.math3.exception.MaxCountExceededException
 * if the algorithm fails to converge.
 * @see Gamma#regularizedGammaQ(double, double, double, int)
 * @since 2.2
 */
public static double erfc(double x) {
  if (FastMath.abs(x) > 40) {
    return x > 0 ? 0 : 2;
  }
  final double ret = Gamma.regularizedGammaQ(0.5, x * x, 1.0e-15, 10000);
  return x < 0 ? 2 - ret : ret;
}

代码示例来源：origin: geogebra/geogebra

ret = 1.0 - regularizedGammaQ(a, x, epsilon, maxIterations);
} else {

代码示例来源：origin: io.virtdata/virtdata-lib-realer

ret = 1.0 - regularizedGammaQ(a, x, epsilon, maxIterations);
} else {