Diff                    Difference data
add_forecast_dates      Add NA values to the tail of a wide data.table
agg_to_freq             Aggregate long format data.table
agg_to_freq_wide        Aggregate data.table and return wide format
allNA                   Are all elements 'NA'?
all_finite              Rows with only finite values
any_finite              Rows with finite values
can_seasonal            Can data be seasonally adjusted?
col_to_list             Convert columns to list
comp_form               Companion Form
count_obs               Count observations
day                     Return the day of a Date value
end_of_period           End of period date
end_of_year             End of Year
extract_basic_character
                        Extract characters
extract_character       Extract character values
extract_numeric         Extract numeric values
fill_forward            Fill Forward
first_of_month          First of month
first_of_quarter        First of Quarter
first_previous_quarter
                        First of previous quarter date
fred                    Sample mixed frequency data from FRED
fredlib                 Library of metadata for mixed frequency dataset
                        'fred'
get_data_frq            Get frequency of data based on missing
                        observations
get_from_list           Get from list
index_by_friday         Find the Friday in a given week
is_in                   Find element of this_in that
last_in_month           Last date in the month
last_in_quarter         Last date in the week
last_in_week            Last date in the week
last_in_year            Last date in the year
last_obs                Last observation
limit_character         Limit Characters
long_run_var            Long Run Variance of a VAR
match_index             Match index values
match_ts_dates          Match dates between two timeseries
mean_na                 Return the mean
month_days              Number of days in a given month
number_finite           Number of finite values in a column
numdum                  Dummies for Numeric Data
pct_chng                Percent change
pct_response            Percent of responses at a given frequency
process                 Process Data
process_MF              Process mixed frequency
process_wide            Process Wide Format Data
rollmax                 Rolling Max
rollmean                Rolling mean
rollmin                 Rolling Min
row_to_list             Convert rows to list
run_sa                  Seasonally adjust data using seas()
sd_na                   Return the standard deviation
seas_df_long            Seasonally adjust long format data using seas()
seas_df_wide            Seasonally adjust wide format data using seas()
spline_fill             Spline fill missing observations
spline_fill_trend       Spline fill missing observations
stack_obs               Stack time series observations in VAR format
sum_na                  Return the sum
to_ts                   Tabular data to ts() format
total_response          Number of of responses at a given frequency
try_detrend             Remove low frequency trends from data
try_sa                  Seasonally adjust data using seas()
try_trend               Estimate low frequnecy trends
ts_to_df                ts() data to a dataframe
