Description Usage Arguments Value Author(s) References Examples

View source: R/Finalised_coding.R

This function starts by over-estimating the number of true change-points.
After that, following an approach based on the values of a suitable contrast function,
it sorts the estimated change-points in a way that the estimation, which is
most-likely to be correct appears first, whereas the least likely to be correct,
appears last. The routine is typically not called directly by the user; it is
employed in `cplm_ic`

. For more details, see References.

1 | ```
sol_path_cplm(x, thr_ic = 1.25, points = 3)
``` |

`x` |
A numeric vector containing the data in which you would like to find change-points. |

`thr_ic` |
A positive real number with default value equal to 1.25. It is
used to define the threshold. The change-points are estimated by thresholding
with threshold equal to |

`points` |
A positive integer with default value equal to 3. It defines the distance between two consecutive end- or start-points of the right- or left-expanding intervals, respectively. |

The solution path for the case of continuous piecewise-linear signals.

Andreas Anastasiou, a.anastasiou@lse.ac.uk

Anastasiou, A. and Fryzlewicz, P. (2018). Detecting multiple generalized change-points by isolating single ones.

1 2 3 |

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