# CPI Function

### Description

Incorporate change point analysis in ARIMA forecasting

### Usage

1 2 |

### Arguments

`myts` |
a time series object |

`startChangePoint` |
a positive integer for minimum number of changepoints |

`endChangePoint` |
a positive integer for maximum number of change points. If 0 then only startChangePoint number of change points will be entered. Should be either 0 or greater than startChangePoint and if so the algorithm will loop through all values inbetween subject to step |

`step` |
an integer to step through loop of change points |

`num` |
Bump model number (see below) |

`cpmeth` |
changepoint method. Default is BinSeg. See cpa package for details |

`CPpenalty` |
default is SIC. See cpa package for details |

`showModel` |
default is False, if True shows all models for all changepoints, if an integer all models for that changepoint, if a string all changepoints for that model |

### Value

A data frame with all the results from analysis