test_class.declarator: Y
test_class.modifier: private static final
test_class.original_string: private static final double[] Y, X;
test_class.type: double[]
test_class.var_name: Y
test_class.declarator: J
test_class.modifier: private static final
test_class.original_string: private static final Matrix J;
test_class.type: Matrix
test_class.var_name: J
test_class.declarator: airline
test_class.modifier: private static final
test_class.original_string: private static final SarimaSpecification airline;
test_class.type: SarimaSpecification
test_class.var_name: airline
test_class.declarator: domain
test_class.modifier: private static final
test_class.original_string: private static final TsDomain domain;
test_class.type: TsDomain
test_class.var_name: domain
test_class.file: jtstoolkit/src/test/java/ec/tstoolkit/eco/DifferenceStationaryModelHelperTest.java
test_class.identifier: DifferenceStationaryModelHelperTest
test_case.body: @Test
      public void testFirst0() {
          Matrix j = DifferenceStationaryModelHelper.first(12, 4);
          assertTrue(j.getRowsCount() == 3);
      }
test_case.class_method_signature: DifferenceStationaryModelHelperTest.testFirst0()
test_case.full_signature: @Test public void testFirst0()
test_case.identifier: testFirst0
test_case.invocations: first assertTrue getRowsCount
test_case.modifiers: @Test public
test_case.parameters: ()
test_case.return: void
test_case.signature: void testFirst0()
focal_class.declarator: n_
focal_class.modifier: private final
focal_class.original_string: private final int n_;
focal_class.type: int
focal_class.var_name: n_
focal_class.declarator: J_
focal_class.modifier: private final
focal_class.original_string: private final Matrix J_;
focal_class.type: Matrix
focal_class.var_name: J_
focal_class.declarator: Delta_
focal_class.modifier: private final
focal_class.original_string: private final BackFilter Delta_;
focal_class.type: BackFilter
focal_class.var_name: Delta_
focal_class.declarator: B_
focal_class.modifier: private
focal_class.original_string: private Matrix B_, D_;
focal_class.type: Matrix
focal_class.var_name: B_
focal_class.declarator: y_
focal_class.modifier: private final
focal_class.original_string: private final DataBlock y_;
focal_class.type: DataBlock
focal_class.var_name: y_
focal_class.declarator: dy_
focal_class.modifier: private
focal_class.original_string: private DataBlock dy_;
focal_class.type: DataBlock
focal_class.var_name: dy_
focal_class.declarator: X_
focal_class.modifier: private final
focal_class.original_string: private final Matrix X_, DX_;
focal_class.type: Matrix
focal_class.var_name: X_
focal_class.declarator: valid_ = true
focal_class.modifier: private
focal_class.original_string: private boolean valid_ = true;
focal_class.type: boolean
focal_class.var_name: valid_
focal_class.file: jtstoolkit/src/main/java/ec/tstoolkit/eco/DifferenceStationaryModelHelper.java
focal_class.identifier: DifferenceStationaryModelHelper
focal_class.class_method_signature: DifferenceStationaryModelHelper.missings(final IReadDataBlock data)
focal_class.full_signature: public static Matrix missings(final IReadDataBlock data)
focal_class.identifier: missings
focal_class.modifiers: public static
focal_class.parameters: (final IReadDataBlock data)
focal_class.return: Matrix
focal_class.signature: Matrix missings(final IReadDataBlock data)
focal_class.class_method_signature: DifferenceStationaryModelHelper.missings(final IReadDataBlock data, final int[] inits)
focal_class.full_signature: public static Matrix missings(final IReadDataBlock data, final int[] inits)
focal_class.identifier: missings
focal_class.modifiers: public static
focal_class.parameters: (final IReadDataBlock data, final int[] inits)
focal_class.return: Matrix
focal_class.signature: Matrix missings(final IReadDataBlock data, final int[] inits)
focal_class.class_method_signature: DifferenceStationaryModelHelper.contains(int[] inits, int c)
focal_class.full_signature: private static boolean contains(int[] inits, int c)
focal_class.identifier: contains
focal_class.modifiers: private static
focal_class.parameters: (int[] inits, int c)
focal_class.return: boolean
focal_class.signature: boolean contains(int[] inits, int c)
focal_class.class_method_signature: DifferenceStationaryModelHelper.last(final int len, final int step)
focal_class.full_signature: public static Matrix last(final int len, final int step)
focal_class.identifier: last
focal_class.modifiers: public static
focal_class.parameters: (final int len, final int step)
focal_class.return: Matrix
focal_class.signature: Matrix last(final int len, final int step)
focal_class.class_method_signature: DifferenceStationaryModelHelper.first(final int len, final int step)
focal_class.full_signature: public static Matrix first(final int len, final int step)
focal_class.identifier: first
focal_class.modifiers: public static
focal_class.parameters: (final int len, final int step)
focal_class.return: Matrix
focal_class.signature: Matrix first(final int len, final int step)
focal_class.class_method_signature: DifferenceStationaryModelHelper.aggregation(final int len, final int nagg)
focal_class.full_signature: public static Matrix aggregation(final int len, final int nagg)
focal_class.identifier: aggregation
focal_class.modifiers: public static
focal_class.parameters: (final int len, final int nagg)
focal_class.return: Matrix
focal_class.signature: Matrix aggregation(final int len, final int nagg)
focal_class.class_method_signature: DifferenceStationaryModelHelper.searchDefaultInitialValues(IReadDataBlock y, int d)
focal_class.full_signature: public static int[] searchDefaultInitialValues(IReadDataBlock y, int d)
focal_class.identifier: searchDefaultInitialValues
focal_class.modifiers: public static
focal_class.parameters: (IReadDataBlock y, int d)
focal_class.return: int[]
focal_class.signature: int[] searchDefaultInitialValues(IReadDataBlock y, int d)
focal_class.class_method_signature: DifferenceStationaryModelHelper.DifferenceStationaryModelHelper(final DataBlock y, final Matrix X, final Matrix transformation, final BackFilter difference)
focal_class.full_signature: public  DifferenceStationaryModelHelper(final DataBlock y, final Matrix X, final Matrix transformation, final BackFilter difference)
focal_class.identifier: DifferenceStationaryModelHelper
focal_class.modifiers: public
focal_class.parameters: (final DataBlock y, final Matrix X, final Matrix transformation, final BackFilter difference)
focal_class.signature:  DifferenceStationaryModelHelper(final DataBlock y, final Matrix X, final Matrix transformation, final BackFilter difference)
focal_class.class_method_signature: DifferenceStationaryModelHelper.DifferenceStationaryModelHelper(final IModelProvider provider)
focal_class.full_signature: public  DifferenceStationaryModelHelper(final IModelProvider provider)
focal_class.identifier: DifferenceStationaryModelHelper
focal_class.modifiers: public
focal_class.parameters: (final IModelProvider provider)
focal_class.signature:  DifferenceStationaryModelHelper(final IModelProvider provider)
focal_class.class_method_signature: DifferenceStationaryModelHelper.getB()
focal_class.full_signature: public Matrix getB()
focal_class.identifier: getB
focal_class.modifiers: public
focal_class.parameters: ()
focal_class.return: Matrix
focal_class.signature: Matrix getB()
focal_class.class_method_signature: DifferenceStationaryModelHelper.getD()
focal_class.full_signature: public Matrix getD()
focal_class.identifier: getD
focal_class.modifiers: public
focal_class.parameters: ()
focal_class.return: Matrix
focal_class.signature: Matrix getD()
focal_class.class_method_signature: DifferenceStationaryModelHelper.compute(Matrix Vw)
focal_class.full_signature: public ConcentratedLikelihood compute(Matrix Vw)
focal_class.identifier: compute
focal_class.modifiers: public
focal_class.parameters: (Matrix Vw)
focal_class.return: ConcentratedLikelihood
focal_class.signature: ConcentratedLikelihood compute(Matrix Vw)
focal_class.class_method_signature: DifferenceStationaryModelHelper.computeProjections(Matrix Z, Matrix Vw)
focal_class.full_signature: public Matrix computeProjections(Matrix Z, Matrix Vw)
focal_class.identifier: computeProjections
focal_class.modifiers: public
focal_class.parameters: (Matrix Z, Matrix Vw)
focal_class.return: Matrix
focal_class.signature: Matrix computeProjections(Matrix Z, Matrix Vw)
focal_class.class_method_signature: DifferenceStationaryModelHelper.lcompute(IModelProviderEx xprovider, IReadDataBlock p)
focal_class.full_signature:  ConcentratedLikelihood lcompute(IModelProviderEx xprovider, IReadDataBlock p)
focal_class.identifier: lcompute
focal_class.parameters: (IModelProviderEx xprovider, IReadDataBlock p)
focal_class.return: ConcentratedLikelihood
focal_class.signature: ConcentratedLikelihood lcompute(IModelProviderEx xprovider, IReadDataBlock p)
focal_class.class_method_signature: DifferenceStationaryModelHelper.delta(SubMatrix m)
focal_class.full_signature: private void delta(SubMatrix m)
focal_class.identifier: delta
focal_class.modifiers: private
focal_class.parameters: (SubMatrix m)
focal_class.return: void
focal_class.signature: void delta(SubMatrix m)
focal_class.class_method_signature: DifferenceStationaryModelHelper.calc()
focal_class.full_signature: private void calc()
focal_class.identifier: calc
focal_class.modifiers: private
focal_class.parameters: ()
focal_class.return: void
focal_class.signature: void calc()
focal_class.class_method_signature: DifferenceStationaryModelHelper.clear()
focal_class.full_signature: private void clear()
focal_class.identifier: clear
focal_class.modifiers: private
focal_class.parameters: ()
focal_class.return: void
focal_class.signature: void clear()
focal_method.body: public static Matrix first(final int len, final int step) {
          int nc = len, nr = 1 + (nc - 1) / step;
          Matrix J = new Matrix(nr, nc);
          for (int r = 0, c = 0; r < nr; ++r, c += step) {
              J.set(r, c, 1);
          }
          return J;
      }
focal_method.class_method_signature: DifferenceStationaryModelHelper.first(final int len, final int step)
focal_method.full_signature: public static Matrix first(final int len, final int step)
focal_method.identifier: first
focal_method.invocations: set
focal_method.modifiers: public static
focal_method.parameters: (final int len, final int step)
focal_method.return: Matrix
focal_method.signature: Matrix first(final int len, final int step)