| auto_hpfj | Automatic selection of the optimal HP filter with jumps |
| auto_hpfjx | Automatic selection of the optimal HP filter with jumps and regressors |
| auto_hpfj_fix | Automatic selection of the optimal HP filter with jumps and fixed smoothing constant |
| auto_ssj_atw | Automatic selection of the optimal smoothing spline with jumps using the alternating time-warping algorithm |
| auto_ssj_atw_cv | Smoothing splines with jumps by alternating time warping, with the smoothing constant chosen by cross-validation |
| auto_ssj_atw_gcv | Smoothing splines with jumps by alternating time warping, with the smoothing constant chosen by generalized cross-validation |
| auto_ssj_cssd | Automatic CSSD with K-fold cross-validation of the parameters |
| auto_ssj_fix | Automatic selection of the optimal smoothing spline with jumps and fixed smoothing parameter |
| auto_ssj_kfs | Automatic selection of the optimal time-warping smoothing spline with jumps using the Kalman filter and smoother |
| auto_ssj_mle | Automatic selection of the optimal time-warping smoothing spline with jumps using maximum-likelihood estimation |
| BIC.hpj | BIC method for the class hpj |
| demand_temp | Electricity demand and temperature: the analysis sample |
| dummyseas | Seasonal dummy variables |
| employed_IT | Employed people in Italy by age class |
| hpfj | HP filter with automatic jump detection |
| hpfjx | HP filter with jumps and regressors (still experimental) |
| hpfj_fix | HP filter with automatic jump detection and fixed smoothing constant |
| hpj | Hodrick-Prescott filter with jumps |
| llt | Kalman filtering and smoothing for local linear trend plus noise |
| load_temp | Hourly electricity load of Northern Italy and temperature of Milan |
| logLik.hpj | logLik method for the class hpj |
| mse | Mean squared error |
| nobs.hpj | nobs method for the class hpj |
| plot.hpj | Plot method for the class hpj |
| plot.ssj | Plot method for the class ssj |
| predict.ssj | Predict from a smoothing spline with jumps |
| predict_cssd_dp | Predict from a fitted CSSD at new locations |
| print.hpj | Print method for the class hpj |
| print.ssj | Print method for the class ssj |
| ssj_atw | Smoothing splines with automatic jump detection using the alternating time-warping algorithm |
| ssj_breaks | Discontinuities declared by a smoothing spline with jumps |
| ssj_cssd | Total-variation denoising for irregularly sampled signals |
| ssj_cssd_dp | Cubic smoothing spline with discontinuities (CSSD) |
| ssj_fix | Smoothing splines with automatic jump detection and fixed smoothing parameter |
| ssj_kfs | Smoothing splines with automatic jump detection via time warping and Kalman filter-smoother estimation |
| ssj_mle | Smoothing splines with automatic jump detection via time warping and maximum-likelihood estimation of the smoothing parameter |
| trigseas | Trigonometric seasonal variables |