# Extract Trends from Time Series

## Documentation for package ‘trendseries’ version 1.4.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## 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