R package to apply Monte Carlo time series trend analysis, based on Ricchetti (Ricchetti, 2018). It generates a dataframe with numerical results and a plot to visualize results.

Dependencies: trend, reshape2, ggplot2, magrittr, lmomco, dplyr

You can install the development version of MCTrend from GitHub with this R command:

Functions | Description |
---|---|

`MCTrend(x, n_rep, plot_title, int = 0.25, opt)` |
Apply Monte Carlo time series trend analysis. |

Parameters | Description |
---|---|

`x` |
A data frame containing the input data. The first row expected to contain model names or time series names.. |

`n_rep` |
Number of replications for the Monte Carlo simulation. |

`plot_title` |
Title for the plot. |

`int` |
Number indicating lower threshold value of the interval within which no trend is defined, the upper value is calculated based on this value, by default a lower value of 0.25 is considered. |

`opt` |
A number indicating type of results, for opt = 1 returns test result, opt = 2 returns plot. |

To download a file with the reference format follow this path: https://github.com/Alobondo/Trend_and_Stationarity_Tests/raw/main/PP_T%26S_test.xlsx