Author: Alonso Arriagadada M. alonso.arriagada@usach.cl

# Monte Carlo time series trend analysis

#### Alonso Arriagadada M. alonso.arriagada@usach.cl

#### 29-11-2023

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.

## Requirements

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

## Installation

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

    # install.packages("remotes")
    remotes::install_github("Alobondo/MCTrend")
    library(MCTrend)

## Usage

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.

## File for example

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