changepoint - Methods for Changepoint Detection
Implements various mainstream and specialised changepoint methods for finding single and multiple changepoints within data. Many popular non-parametric and frequentist methods are included. The cpt.mean(), cpt.var(), cpt.meanvar() functions should be your first point of call.
Last updated 20 days ago
changepointsegmentation
10.59 score 128 stars 40 packages 688 scripts 6.2k downloadsEnvCpt - Detection of Structural Changes in Climate and Environment Time Series
Tools for automatic model selection and diagnostics for Climate and Environmental data. In particular the envcpt() function does automatic model selection between a variety of trend, changepoint and autocorrelation models. The envcpt() function should be your first port of call.
Last updated 4 years ago
3.31 score 5 stars 41 scripts 782 downloadslpacf - Local Partial Autocorrelation Function Estimation for Locally Stationary Wavelet Processes
Provides the method for computing the local partial autocorrelation function for locally stationary wavelet time series from Killick, Knight, Nason, Eckley (2020) <doi:10.1214/20-EJS1748>.
Last updated 2 years ago
1.48 score 1 packages 212 downloadsforecastLSW - Forecasting Routines for Locally Stationary Wavelet Processes
Implementation to perform forecasting of locally stationary wavelet processes by examining the local second order structure of the time series.
Last updated 2 years ago
1.00 score 1 scripts 213 downloads