| jumps-package | Hodrick-Prescott Filter with Jumps |
| 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 |
| BIC.hpj | BIC method for the class hpj |
| da | Internal function for computing scores w/r to regression coefficients |
| dummyseas | Seasonal dummy variables |
| employed_IT | Dataset: employed_IT |
| hpfj | HP filter with automatic jumps detection. |
| hpfjx | HP filter with jumps and regressors (still experimental) |
| hpfj_fix | HP filter with automatic jumps detection and fixed smoothing constant |
| hpj | Hodrick-Prescott filter with jumps |
| jumps | Hodrick-Prescott Filter with Jumps |
| llt | Kalman filtering and smoothing for local linear trend plus noise |
| 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 |
| print.hpj | Print method for the class hpj |
| trigseas | Trigonometric seasonal variables |