R: Bayesian Change Point Detection for High-Dimensional Data

# Bayesian Change Point Detection for High-Dimensional Data

## Documentation for package ‘hdbcp’ version 1.0.0

- DESCRIPTION file
- Package README

## Help Pages

generate_cov_datasets | Generate Simulated Datasets with Change Points in Covariance Matrix
generate_mean_datasets | Generate Simulated Datasets with Change Points in Mean Vector
majority_rule_mxPBF | Majority Rule for Multiscale approach using mxPBF Results
mvrnorm_cpp | Multivariate Normal Random Number Generator
mxPBF_combined | Change Point Detection in Mean Structure using Maximum Pairwise Bayes Factor (mxPBF)
mxPBF_cov | Change Point Detection in Covaraiance Structure using Maximum Pairwise Bayes Factor (mxPBF)
mxPBF_mean | Change Point Detection in Mean Structure using Maximum Pairwise Bayes Factor (mxPBF)