Man pages for deseats
Data-Driven Locally Weighted Regression for Trend and Seasonality in TS
| animate | Automatic Creation of Animations |
| animate-deseats-method | Animate Locally Weighted Regression Results |
| arma_to_ar | AR Representation of an ARMA Model |
| arma_to_ma | MA Representation of an ARMA Model |
| autoplot-decomp-method | Plot Method for Decomposition Results in the Style of ggplot2 |
| autoplot-deseats_fc-method | 'ggplot2' Plot Method for Class '"deseats_fc"' |
| autoplot-hfilter-method | 'ggplot2' Plot Method for the Results of a Hamilton Filter |
| BV4.1 | Trend and Seasonality Estimation Using the Berlin Procedure... |
| bwidth_confint | Bootstrapping Confidence Intervals for Locally Weighted... |
| bwidth-deseats-method | Retrieve the Used Bandwidth from an Estimation Object |
| CIVLABOR | Monthly Civilian Labor Force Level in the USA |
| CONSUMPTION | Quarterly Real Final Consumption Expenditure for Australia |
| COVID | Daily Confirmed New COVID-19 Cases in Germany |
| create.gain | Create Gain Function from a Linear Time Series Filter |
| DEATHS | Monthly Deaths in Germany |
| deseats | Locally Weighted Regression for Trend and Seasonality in... |
| deseats-package | Deseasonalize Time Series |
| ENERGY | Monthly Total Production and Distribution of Electricity,... |
| EXPENDITURES | Quarterly Personal Consumption Expenditures in the USA |
| expo | Automatic Creation of Animations |
| expo-deseats_fc-method | Exponentiate 'deseats' Forecasts |
| fitted-hfilter-method | Fitted Components of the Hamilton Filter |
| gain | Gain Function Generic |
| gain-deseats-method | Obtain gain function values for DeSeaTS Trend and Detrend... |
| GDP | Quarterly US GDP |
| hA_calc | Calculation of Theoretically Optimal Bandwidth and Its... |
| hamilton_filter | Time Series Filtering Using the Hamilton Filter |
| HOUSES | Monthly New One Family Houses Sold in the USA |
| LIVEBIRTHS | Monthly Live Births in Germany |
| llin_decomp | Decomposition of Time Series Using Local Linear Regression |
| lm_decomp | Decomposition of Time Series Using Linear Regression |
| ma_decomp | Decomposition of Time Series Using Moving Averages |
| measures | Forecasting Accuracy Measure Calculation |
| NOLABORFORCE | Monthly Number of US Persons Not in the Labor Force |
| order_poly | Smoothing Option Generics |
| order_poly-smoothing_options-method | Retrieve or Set Smoothing Options |
| plot-decomp-method | Plot Method for Decomposition Results in the Style of Base R... |
| plot-deseats_fc-method | Plot Method for Class '"deseats_fc"' |
| plot-hfilter-method | Plot Method for the Results of a Hamilton Filter |
| predict-s_semiarma-method | Point and Interval Forecasts for Seasonal Semi-ARMA Models |
| RAINFALL | Monthly Average Rainfall in Germany |
| read_ts | Read in a Dataset Directly as an Object of Class '"ts"' or... |
| RETAIL | Monthly Total Volume of Retail Trade in Germany |
| runDecomposition | Shiny App for Decomposing Seasonal Time Series |
| SAVINGS | Quarterly Savings of Private Households in Germany |
| seasonplot | Creation of Seasonal Plots |
| seasonplot_gg | Creation of Seasonal Plots in the Style of ggplot2 |
| select_bwidth | Optimal Bandwidth Estimation for Locally Weighted Regression... |
| set_options | Specification of Smoothing Options |
| show-deseats-method | Printing of 'deseats' Function Results |
| show-smoothing_options-method | Show Method for Smoothing Options |
| show-s_semiarma-method | Show Method for Objects of Class '"s_semiarma"' |
| s_semiarma | Fitting of a Seasonal Semiparametric ARMA Model |
| SUNSHINE | Monthly Hours of Sunshine in Germany |
| TEMPERATURE | Monthly Average Temperature in Germany |
| trend | Obtain Estimated Components of a Time Series |
| trend-decomp-method | Obtain Individual Components of a Decomposed Time Series |
| zoo_to_ts | Time Series Object Conversion from '"zoo"' to '"ts"' |
