R: Bayesian Methods for Change Point Analysis

# Bayesian Methods for Change Point Analysis

## Documentation for package ‘BayesChange’ version 2.3.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

ClustCpObj | ClustCpObj class constructor
clust_cp | Clustering time dependent observations with common change points.
DetectCpObj | DetectCpObj class constructor
detect_cp | Detect change points on time series.
epi_synthetic | Synthetic Epidemiological Time-Series Data
epi_synthetic_multi | Multivariate Synthetic Epidemiological Time-Series Data
eu_inflation | EU Inflation Dataset (Standardized Matrix Form)
plot.ClustCpObj | Plot estimated partition
plot.DetectCpObj | Plot estimated change points
plot_psm.ClustCpObj | Plot the Posterior Similarity Matrix (PSM) for a ClustCpObj
posterior_estimate.ClustCpObj | Estimate the change points of the data
posterior_estimate.DetectCpObj | Estimate the change points of the data
print.ClustCpObj | ClustCpObj print method
print.DetectCpObj | DetectCpObj print method
sim_epi_data | Simulate epidemiological data
stock_multi | Daily Stock Price Dataset (Multivariate Open/Close Series)
stock_uni | Daily Stock Price Dataset (Univariate Mean Series)
summary.ClustCpObj | ClustCpObj summary method
summary.DetectCpObj | DetectCpObj summary method