Extract Trends from Time Series
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Documentation for package ‘trendseries’ version 1.4.0
Help Pages
| augment_trends | Add trend columns to data frame |
| coffee_arabica | Daily Arabica Coffee Price |
| coffee_robusta | Daily Robusta Coffee Price |
| converters | Data Format Conversion Utilities |
| decompose_series | Decompose time series into trend, seasonal, and remainder components |
| deseason_series | Seasonally adjust (deseason) a time series |
| detrend_series | Detrend a time series |
| df_to_ts | Convert a data.frame into a time series (ts) |
| electric | Electric Consumption Residential |
| electricity | Electricity Consumption by Sector |
| extract_trends | Extract trends from time series objects |
| gdp_construction | GDP Construction Index |
| ibcbr | Central Bank Economic Activity Index |
| metadata_series | Series Metadata |
| oil_derivatives | Oil Derivatives Production |
| retail_autofuel | UK Retail Sales - Automotive Fuel |
| retail_volume | UK Retail Index |
| transit_london_avgs | London Transit - Average Daily Journeys |
| transit_london_monthly | London Transit - Monthly Journey Totals |
| ts_to_df | Convert time series to tibble |
| vehicles | Vehicle Production |