BV4.1                   Trend and Seasonality Estimation Using the
                        Berlin Procedure 4.1
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
DEATHS                  Monthly Deaths in Germany
ENERGY                  Monthly Total Production and Distribution of
                        Electricity, Gas, Steam, and Air Conditioning
                        for Germany
EXPENDITURES            Quarterly Personal Consumption Expenditures in
                        the USA
GDP                     Quarterly US GDP
HOUSES                  Monthly New One Family Houses Sold in the USA
LIVEBIRTHS              Monthly Live Births in Germany
NOLABORFORCE            Monthly Number of US Persons Not in the Labor
                        Force
RAINFALL                Monthly Average Rainfall in Germany
RETAIL                  Monthly Total Volume of Retail Trade in Germany
SAVINGS                 Quarterly Savings of Private Households in
                        Germany
SUNSHINE                Monthly Hours of Sunshine in Germany
TEMPERATURE             Monthly Average Temperature in Germany
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
bwidth,deseats-method   Retrieve the Used Bandwidth from an Estimation
                        Object
bwidth_confint          Bootstrapping Confidence Intervals for Locally
                        Weighted Regression Bandwidths
create.gain             Create Gain Function from a Linear Time Series
                        Filter
deseats                 Locally Weighted Regression for Trend and
                        Seasonality in Equidistant Time Series under
                        Short Memory
deseats-package         Deseasonalize Time Series
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 Filters
hA_calc                 Calculation of Theoretically Optimal Bandwidth
                        and Its Components
hamilton_filter         Time Series Filtering Using the Hamilton Filter
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
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 Plots
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
read_ts                 Read in a Dataset Directly as an Object of
                        Class '"ts"' or '"mts"'
runDecomposition        Shiny App for Decomposing Seasonal Time Series
s_semiarma              Fitting of a Seasonal Semiparametric ARMA Model
select_bwidth           Optimal Bandwidth Estimation for Locally
                        Weighted Regression in Equidistant Time Series
                        under Short Memory
set_options             Specification of Smoothing Options
show,deseats-method     Printing of 'deseats' Function Results
show,s_semiarma-method
                        Show Method for Objects of Class '"s_semiarma"'
show,smoothing_options-method
                        Show Method for Smoothing Options
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"'
