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org.ddahl.commonsmath

Transcompile

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object Transcompile

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  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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    Definition Classes
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  4. def _beta(x: Array[Int], y: Array[Int]): Array[Double]

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  5. def _beta(x: Array[Double], y: Array[Int]): Array[Double]

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  6. def _beta(x: Array[Int], y: Array[Double]): Array[Double]

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  7. def _beta(x: Array[Double], y: Array[Double]): Array[Double]

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  8. def _beta(x: Double, y: Double): Double

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  9. def _choose(n: Array[Int], k: Array[Int]): Array[Double]

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  10. def _choose(n: Array[Double], k: Array[Int]): Array[Double]

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  11. def _choose(n: Array[Int], k: Array[Double]): Array[Double]

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  12. def _choose(n: Array[Double], k: Array[Double]): Array[Double]

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  13. def _choose(n: Double, k: Double): Double

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  14. def _dbeta(x: Array[Double], shape1: Double, shape2: Double, ncp: Double = 0.0, log: Boolean = false): Array[Double]

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  15. def _dbeta(x: Double): Double

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  16. def _dbinom(x: Array[Double], size: Double, prob: Double, log: Boolean = false): Array[Double]

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  17. def _dbinom(x: Double): Double

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  18. def _dchisq(x: Array[Double], df: Double, ncp: Double = 0.0, log: Boolean = false): Array[Double]

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  19. def _dchisq(x: Double): Double

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  20. def _dexp(x: Array[Double], rate: Double = 1.0, log: Boolean = false): Array[Double]

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  21. def _dexp(x: Double): Double

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  22. def _df(x: Array[Double], df1: Double, df2: Double, ncp: Double = 0.0, log: Boolean = false): Array[Double]

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  23. def _df(x: Double): Double

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  24. def _dgamma(x: Array[Double], shape: Double, rate: Double = NaN, scale: Double = NaN, log: Boolean = false): Array[Double]

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  25. def _dgamma(x: Double): Double

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  26. def _dgeom(x: Array[Double], prob: Double, log: Boolean = false): Array[Double]

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  27. def _dgeom(x: Double): Double

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  28. def _dnbinom(x: Array[Double], size: Double, prob: Double, mu: Double = NaN, log: Boolean = false): Array[Double]

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  29. def _dnbinom(x: Double): Double

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  30. def _dnorm(x: Array[Double], mean: Double = 0.0, sd: Double = 1.0, log: Boolean = false): Array[Double]

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  31. def _dnorm(x: Double): Double

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  32. def _dpois(x: Array[Double], lambda: Double, log: Boolean = false): Array[Double]

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  33. def _dpois(x: Double): Double

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  34. def _dt(x: Array[Double], df: Double, ncp: Double = 0.0, log: Boolean = false): Array[Double]

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  35. def _dt(x: Double): Double

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  36. def _dunif(x: Array[Double], min: Double = 0.0, max: Double = 1.0, log: Boolean = false): Array[Double]

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  37. def _dunif(x: Double): Double

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  38. def _factorial(x: Array[Int]): Array[Double]

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  39. def _factorial(x: Array[Double]): Array[Double]

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  40. def _factorial(x: Double): Double

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  41. def _gamma(x: Array[Int]): Array[Double]

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  42. def _gamma(x: Array[Double]): Array[Double]

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  43. def _gamma(x: Double): Double

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  44. def _lbeta(x: Array[Int], y: Array[Int]): Array[Double]

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  45. def _lbeta(x: Array[Double], y: Array[Int]): Array[Double]

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  46. def _lbeta(x: Array[Int], y: Array[Double]): Array[Double]

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  47. def _lbeta(x: Array[Double], y: Array[Double]): Array[Double]

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  48. def _lbeta(x: Double, y: Double): Double

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  49. def _lchoose(n: Array[Int], k: Array[Int]): Array[Double]

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  50. def _lchoose(n: Array[Double], k: Array[Int]): Array[Double]

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  51. def _lchoose(n: Array[Int], k: Array[Double]): Array[Double]

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  52. def _lchoose(n: Array[Double], k: Array[Double]): Array[Double]

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  53. def _lchoose(n: Double, k: Double): Double

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  54. def _lfactorial(x: Array[Int]): Array[Double]

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  55. def _lfactorial(x: Array[Double]): Array[Double]

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  56. def _lfactorial(x: Double): Double

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  57. def _lgamma(x: Array[Int]): Array[Double]

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  58. def _lgamma(x: Array[Double]): Array[Double]

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  59. def _lgamma(x: Double): Double

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  60. def _pbeta(q: Array[Double], shape1: Double, shape2: Double, ncp: Double = 0.0, lower_tail: Boolean = true): Array[Double]

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  61. def _pbeta(q: Double): Double

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  62. def _pbinom(q: Array[Double], size: Double, prob: Double, lower_tail: Boolean = true): Array[Double]

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  63. def _pbinom(q: Double): Double

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  64. def _pchisq(q: Array[Double], df: Double, ncp: Double = 0.0, lower_tail: Boolean = true): Array[Double]

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  65. def _pchisq(q: Double): Double

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  66. def _pexp(q: Array[Double], rate: Double = 1.0, lower_tail: Boolean = true): Array[Double]

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  67. def _pexp(q: Double): Double

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  68. def _pf(q: Array[Double], df1: Double, df2: Double, ncp: Double = 0.0, lower_tail: Boolean = true): Array[Double]

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  69. def _pf(q: Double): Double

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  70. def _pgamma(q: Array[Double], shape: Double, rate: Double = NaN, scale: Double = NaN, lower_tail: Boolean = true): Array[Double]

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  71. def _pgamma(q: Double): Double

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  72. def _pgeom(q: Array[Double], prob: Double, lower_tail: Boolean = true): Array[Double]

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  73. def _pgeom(q: Double): Double

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  74. def _pnbinom(q: Array[Double], size: Double, prob: Double, mu: Double = NaN, lower_tail: Boolean = true): Array[Double]

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  75. def _pnbinom(q: Double): Double

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  76. def _pnorm(q: Array[Double], mean: Double = 0.0, sd: Double = 1.0, lower_tail: Boolean = true): Array[Double]

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  77. def _pnorm(q: Double): Double

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  78. def _ppois(q: Array[Double], lambda: Double, lower_tail: Boolean = true): Array[Double]

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  79. def _ppois(q: Double): Double

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  80. def _pt(q: Array[Double], df: Double, ncp: Double = 0.0, lower_tail: Boolean = true): Array[Double]

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  81. def _pt(q: Double): Double

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  82. def _punif(q: Array[Double], min: Double = 0.0, max: Double = 1.0, lower_tail: Boolean = true): Array[Double]

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  83. def _punif(q: Double): Double

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  84. def _qbeta(p: Array[Double], shape1: Double, shape2: Double, ncp: Double = 0.0, lower_tail: Boolean = true): Array[Double]

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  85. def _qbeta(p: Double): Double

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  86. def _qbinom(p: Array[Double], size: Double, prob: Double, lower_tail: Boolean = true): Array[Double]

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  87. def _qbinom(p: Double): Double

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  88. def _qchisq(p: Array[Double], df: Double, ncp: Double = 0.0, lower_tail: Boolean = true): Array[Double]

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  89. def _qchisq(p: Double): Double

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  90. def _qexp(p: Array[Double], rate: Double = 1.0, lower_tail: Boolean = true): Array[Double]

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  91. def _qexp(p: Double): Double

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  92. def _qf(p: Array[Double], df1: Double, df2: Double, ncp: Double = 0.0, lower_tail: Boolean = true): Array[Double]

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  93. def _qf(p: Double): Double

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  94. def _qgamma(p: Array[Double], shape: Double, rate: Double = NaN, scale: Double = NaN, lower_tail: Boolean = true): Array[Double]

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  95. def _qgamma(p: Double): Double

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  96. def _qgeom(p: Array[Double], prob: Double, lower_tail: Boolean = true): Array[Double]

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  97. def _qgeom(p: Double): Double

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  98. def _qnbinom(p: Array[Double], size: Double, prob: Double, mu: Double = NaN, lower_tail: Boolean = true): Array[Double]

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  99. def _qnbinom(p: Double): Double

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  100. def _qnorm(p: Array[Double], mean: Double = 0.0, sd: Double = 1.0, lower_tail: Boolean = true): Array[Double]

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  101. def _qnorm(p: Double): Double

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  102. def _qpois(p: Array[Double], lambda: Double, lower_tail: Boolean = true): Array[Double]

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  103. def _qpois(p: Double): Double

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  104. def _qt(p: Array[Double], df: Double, ncp: Double = 0.0, lower_tail: Boolean = true): Array[Double]

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  105. def _qt(p: Double): Double

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  106. def _qunif(p: Array[Double], min: Double = 0.0, max: Double = 1.0, lower_tail: Boolean = true): Array[Double]

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  107. def _qunif(p: Double): Double

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  108. def _rbeta(n: Double, shape1: Double, shape2: Double, ncp: Double = 0.0): Array[Double]

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  109. def _rbeta(): Double

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  110. def _rbinom(n: Double, size: Double, prob: Double): Array[Double]

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  111. def _rbinom(): Double

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  112. def _rchisq(n: Double, df: Double, ncp: Double = 0.0): Array[Double]

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  113. def _rchisq(): Double

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  114. def _rexp(n: Double, rate: Double = 1.0): Array[Double]

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  115. def _rexp(): Double

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  116. def _rf(n: Double, df1: Double, df2: Double, ncp: Double = 0.0): Array[Double]

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  117. def _rf(): Double

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  118. def _rgamma(n: Double, shape: Double, rate: Double = NaN, scale: Double = NaN): Array[Double]

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  119. def _rgamma(): Double

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  120. def _rgeom(n: Double, prob: Double): Array[Double]

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  121. def _rgeom(): Double

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  122. def _rnbinom(n: Double, size: Double, prob: Double, mu: Double = NaN): Array[Double]

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  123. def _rnbinom(): Double

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  124. def _rnorm(n: Double, mean: Double = 0.0, sd: Double = 1.0): Array[Double]

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  125. def _rnorm(): Double

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  126. def _rpois(n: Double, lambda: Double): Array[Double]

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  127. def _rpois(): Double

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  128. def _rt(n: Double, df: Double, ncp: Double = 0.0): Array[Double]

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  129. def _rt(): Double

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  130. def _runif(n: Double, min: Double = 0.0, max: Double = 1.0): Array[Double]

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  131. def _runif(): Double

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  132. def _sample[T](x: Array[T], size: Double = NaN, replace: Boolean = false, prob: Array[Double] = null)(implicit arg0: ClassTag[T]): Array[T]

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  133. def _sample(x: Double, prob: Array[Double]): Array[Int]

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  134. def _sample(x: Double, replace: Boolean, prob: Array[Double]): Array[Int]

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  135. def _sample(x: Double, size: Double, prob: Array[Double]): Array[Int]

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  136. def _sample(x: Double, size: Double, replace: Boolean, prob: Array[Double]): Array[Int]

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  137. def _sample(x: Double, size: Double, replace: Boolean): Array[Int]

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  138. def _sample(x: Double, replace: Boolean): Array[Int]

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  139. def _sample(x: Double, size: Double): Array[Int]

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  140. def _sample(x: Double): Array[Int]

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  141. final def asInstanceOf[T0]: T0

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  142. def clone(): AnyRef

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  143. final def eq(arg0: AnyRef): Boolean

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  144. def equals(arg0: Any): Boolean

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  145. final def getClass(): Class[_]

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  146. def hashCode(): Int

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  147. final def isInstanceOf[T0]: Boolean

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  148. final def ne(arg0: AnyRef): Boolean

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  149. final def notify(): Unit

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  150. final def notifyAll(): Unit

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  151. final def synchronized[T0](arg0: ⇒ T0): T0

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  152. def toString(): String

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  153. final def wait(arg0: Long, arg1: Int): Unit

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  154. final def wait(arg0: Long): Unit

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  155. final def wait(): Unit

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Deprecated Value Members

  1. def finalize(): Unit

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    Deprecated

    (Since version ) see corresponding Javadoc for more information.

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