Tools to Help to Publish the Trend-Cycle Component
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Documentation for package ‘publishTC’ version 0.2.3
Help Pages
| autoplot.tc_estimates | Plotting Methods for Trend-Cycle Estimates |
| autoplot.ts | Plotting Methods for Trend-Cycle Estimates |
| bandwidth | Get Filter Bandwidth |
| cars_registrations | Example Datasets |
| classical-ma | Classical Moving Averages |
| CLF | Classical Moving Averages |
| CLF_CN | Classical Moving Averages |
| clf_smoothing | Trend-Cycle Estimation using the Cascade Linear Filter |
| confint.clf | Confidence Intervals for Trend-Cycle Estimates |
| confint.henderson | Confidence Intervals for Trend-Cycle Estimates |
| confint.robust_henderson | Confidence Intervals for Trend-Cycle Estimates |
| confint_plot | Plot Confidence Intervals for Trend-Cycle Estimates |
| confint_tc | Confidence Intervals for Trend-Cycle Estimates |
| downturn | Detect Turning Points and Unwanted Ripples in a Time Series |
| etip | Example Datasets |
| find_icr | X-11 Selection of Trend-Cycle Filter |
| fred | Example Datasets |
| french_ipi | Example Datasets |
| ggconfint_plot | Plot Confidence Intervals for Trend-Cycle Estimates |
| gggrowthplot | Plot Growth Rates for Trend-Cycle Estimates |
| ggimplicit_forecasts_plot | Plot Implicit Forecasts for Trend-Cycle Estimates |
| gglollypop | Lollipop Plot for Trend-Cycle Estimates |
| ggsmoothing_plot | Plot Multiple Trend-Cycle Visualizations |
| ggunderlying_forecasts_plot | Plot Underlying Forecasts for Trend-Cycle Estimates |
| growthplot | Plot Growth Rates for Trend-Cycle Estimates |
| henderson | Classical Moving Averages |
| henderson_robust_smoothing | Robust Trend-Cycle Estimation using the Henderson Filter |
| henderson_smoothing | Trend-Cycle Estimation using the Henderson Filter |
| icr | Compute Irregular-to-Trend-Cycle (I/C) Ratios |
| icrs | Compute Irregular-to-Trend-Cycle (I/C) Ratios |
| implicit_forecasts.clf | Implicit Forecasts Methods |
| implicit_forecasts.henderson | Implicit Forecasts Methods |
| implicit_forecasts.robust_henderson | Implicit Forecasts Methods |
| implicit_forecasts_plot | Plot Implicit Forecasts for Trend-Cycle Estimates |
| is_tc_estimates | Trend-Cycle Estimates Class |
| lines.tc_estimates | Plotting Methods for Trend-Cycle Estimates |
| local_param_est | Classical Moving Averages |
| lollypop | Lollipop Plot for Trend-Cycle Estimates |
| mcd | Month of Cyclical Dominance (MCD) |
| plot.tc_estimates | Plotting Methods for Trend-Cycle Estimates |
| read.ts | Export and Import Time Series to and from CSV |
| segmented_smoothing | Segmented Smoothing around Breakpoints |
| simulated_data | Example Datasets |
| smoothing | Multi-Method Trend-Cycle Estimation |
| smoothness | Measure Smoothness of Trend-Cycle Estimates |
| summary.tc_estimates | Trend-Cycle Estimates Class |
| tc_estimates | Trend-Cycle Estimates Class |
| ts-exemple | Example Datasets |
| turning_points | Detect Turning Points and Unwanted Ripples in a Time Series |
| underlying_forecasts.clf | Underlying Forecasts Methods |
| underlying_forecasts.henderson | Underlying Forecasts Methods |
| underlying_forecasts.robust_henderson | Underlying Forecasts Methods |
| underlying_forecasts_plot | Plot Underlying Forecasts for Trend-Cycle Estimates |
| unwanted_ripples | Detect Turning Points and Unwanted Ripples in a Time Series |
| upturn | Detect Turning Points and Unwanted Ripples in a Time Series |
| write.ts | Export and Import Time Series to and from CSV |
| x11_trend_selection | X-11 Selection of Trend-Cycle Filter |
| x13_regarima_outliers | Outlier Detection with RegARIMA Model |