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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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4.  final def asInstanceOf[T0]: T0

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5.  def bs(x: DenseVector[Double], degree: Int = 3, intercept: Boolean = false)(intKnots: Seq[Double] = List(), lb: Double = min(x), ub: Double = max(x)): DenseMatrix[Double]

   Construct a B-spline covariate matrix using input vector x.

   Construct a B-spline covariate matrix using input vector x.

   x

   A covariate vector.

   degree

   The degree of the required B-spline basis (3 for cubic, default).

   intercept

   Include first basis function?

   intKnots

   Interior knots.

   lb

   Lower boundary knot.

   ub

   Upper boundary knot.

6.  def bspline(x: Double, i: Int, deg: Int, knots: Vector[Double]): Double

   B-spline basis function.

   B-spline basis function. Evaluated using the de Boor recurrence.

   x

   The argument of the B-spline function.

   i

   The index of the B-spline function (starting from 0).

   deg

   The degree of the B-spline.

   knots

   The knot sequence.

   returns

   The value of the B-spline function at x.

7.  def clone(): AnyRef

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8.  def cosine(x: Double, j: Int): Double

   Cosine orthogonal basis function.

   Cosine orthogonal basis function. Normalised with sqrt(2).

   x

   The argument of the cosine function, nominally between 0 and 1.

   j

   The order of the basis function (assumed >= 1).

   returns

   The value of the cosine basis function at x.

9.  def cosine(x: DenseVector[Double], n: Int): DenseMatrix[Double]

   Construct a cosine series basis matrix with n columns using input vector x.

   Construct a cosine series basis matrix with n columns using input vector x.

   x

   A covariate vector.

   n

   The number of cosine series basis functions required.

   returns

   A matrix with rows matching the length of x and n columns.

10.  final def eq(arg0: AnyRef): Boolean

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11.  def equals(arg0: Any): Boolean

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12.  def finalize(): Unit

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13.  final def getClass(): Class[_]

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14.  def hashCode(): Int

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15.  final def isInstanceOf[T0]: Boolean

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16.  def legendre(x: Double, n: Int): Double

    Legendre orthogonal polynomial function.

    Legendre orthogonal polynomial function. Evaluated using Bonnet's recursion.

    x

    The argument of the polynomial, nominally between -1 and 1.

    n

    The degree of the polynomial.

    returns

    The value of the nth polynomial at x.

17.  final def ne(arg0: AnyRef): Boolean

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18.  final def notify(): Unit

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19.  final def notifyAll(): Unit

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20.  def poly(x: DenseVector[Double], degree: Int, raw: Boolean = false): DenseMatrix[Double]

    Construct a polynomial basis matrix with degree columns using input vector x.

    Construct a polynomial basis matrix with degree columns using input vector x. Defaults to orthogonal Legendre polynomials, but raw monomials can be requested.

    x

    A covariate vector.

    degree

    The maximum degree of the polynomial basis.

    raw

    Raw monomial basis (true) or orthogonal polynomials (false, default).

    returns

    A matrix with rows matching the length of x and degree columns.

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

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22.  def toString(): String

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23.  final def wait(): Unit

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

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25.  final def wait(arg0: Long): Unit

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