| bitcoin | Bitcoin Market Price (USD) |
| fastcpd | Find change points efficiently |
| fastcpd_ar | Find change points efficiently in AR(p) models |
| fastcpd_arima | Find change points efficiently in ARIMA(p, d, q) models |
| fastcpd_arma | Find change points efficiently in ARMA(p, q) models |
| fastcpd_binomial | Find change points efficiently in logistic regression models |
| fastcpd-class | An S4 class to store the output created with 'fastcpd()' |
| fastcpd_family | Wrapper functions for fastcpd |
| fastcpd_garch | Find change points efficiently in GARCH(p, q) models |
| fastcpd_lasso | Find change points efficiently in penalized linear regression... |
| fastcpd_lm | Find change points efficiently in linear regression models |
| fastcpd_mean | Find change points efficiently in mean change models |
| fastcpd_meanvariance | Find change points efficiently in mean variance change models |
| fastcpd_poisson | Find change points efficiently in Poisson regression models |
| fastcpd_ts | Find change points efficiently in time series data |
| fastcpd_var | Find change points efficiently in VAR(p) models |
| fastcpd_variance | Find change points efficiently in variance change models |
| occupancy | Occupancy Detection Data Set |
| plot | Plot the data and the change points for a fastcpd object |
| print | Print the call and the change points for a fastcpd object |
| show | Show the available methods for a fastcpd object |
| summary | Show the summary of a fastcpd object |
| transcriptome | Transcription Profiling of 57 Human Bladder Carcinoma Samples |
| uk_seatbelts | UK Seatbelts Data |
| variance_arma | Variance estimation for ARMA model with change points |
| variance_lm | Variance estimation for linear models with change points |
| variance_mean | Variance estimation for mean change models |
| variance_median | Variance estimation for median change models |
| well_log | Well-log Dataset from Numerical Bayesian Methods Applied to... |
