| ardl.nardl-package | Linear and Nonlinear Autoregressive Distributed Lag Models: General-to-Specific Approach |
| ArchTest | Import from package 'nardl' |
| ardl.nardl | Linear and Nonlinear Autoregressive Distributed Lag Models: General-to-Specific Approach |
| ardl_uecm | Estimate the ARDL and ARDL Error Correction Model. |
| auto_case_ardl | Obtain the best ARDL model specification and bounds test. |
| cumsq | Import from package 'nardl' |
| cusum | Import from package 'nardl' |
| dynamac_pkg_bounds_test | A function in 'dynamac' package to Perform Pesaran, Shin, and Smith (2001) cointegration test |
| expectation | Inflation Expectation Dataset |
| fuel_price | Time series data from 2000M01 through 2021M03 |
| gets_ardl_uecm | General-to-specific approach for the autoregressive distributed lag model |
| gets_nardl_uecm | Parsimonious model for the autoregressive distributed lag model |
| lagm | Lag a matrix |
| nardl_auto_case | Obtain the best NARDL model specification and bounds test. |
| nardl_uecm | Estimate the nonlinear ARDL (NARDL) Error Correction Model |
| nardl_uecm_sym | Short-run symmetry restrictions (SRSR) and the longrun symmetry restrictions (LRSR). |
| output_ren | Rename the coefficient of the nardl_uecm summary output |
| syg_data | Time series data on output and unemployment in Canada, Japan and United States from 1981M01 to 2022M07 |