Package index • publishTC

All functions

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