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decp (version 0.1.2)

Complete Change Point Analysis

Description

Provides a comprehensive approach for identifying and estimating change points in multivariate time series through various statistical methods. Implements the multiple change point detection methodology from Ryan & Killick (2023) and a novel estimation methodology from Fotopoulos et al. (2023) generalized to fit the detection methodologies. Performs both detection and estimation of change points, providing visualization and summary information of the estimation process for each detected change point.

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Version

Install

install.packages('decp')

Monthly Downloads

138

Version

0.1.2

License

GPL-3

Maintainer

Vasileios Pavlopoulos

Last Published

August 22nd, 2024

Functions in decp (0.1.2)

summary.decp_result

Summary method for decp_result
plot.decp_result

Plot method for decp_result
mle_change_point_detection

MLE Change Point Detection
print.mle_change_point_result

Print method for 'mle_change_point_result' class
adjusted_ratio_bin_seg

Adjusted Ratio Binary Segmentation
simulate_estimation

Simulate Estimation
decp

Detect and Estimate Change Points
plot.mle_change_point_result

Plot method for mle_change_point_result
print.decp_result

Print method for decp_result