%**%                    Multiplication of list with y, elementwise
==.data.list            Determine if two data.lists are identical
AR                      Auto-Regressive (AR) input
Dbuilding               Observations and weather forecasts from a
                        single-family building, weather station and
                        Danish Meteorological Institute (DMI)
as.data.frame.data.list
                        Convert to data.frame
as.data.list            Convert to data.list class
aslt                    Convertion to POSIXlt
bspline                 Compute base splines of a variable using the R
                        function 'splines::bs', use in the transform
                        stage.
cache_name              Generation of a name for a cache file for the
                        value of a function.
cache_save              Save a cache file (name generated with
                        'code_name()'
complete_cases          Find complete cases in forecast matrices
ct                      Convertion to POSIXct
data.list               Make a data.list
depth                   Depth of a list
flattenlist             Flattens list
forecastmodel           Class for forecastmodels
fs                      Generation of Fourrier series.
getse                   Getting subelement from list.
gof                     Simple wrapper for graphics.off()
in_range                Selects a period
input_class             Class for forecastmodel inputs
lagdf                   Lagging which returns a data.frame
lagdf.character         Lagging which returns a data.frame
lagdf.factor            Lagging which returns a data.frame
lagdf.logical           Lagging which returns a data.frame
lagdf.matrix            Lagging which returns a data.frame
lagdf.numeric           Lagging which returns a data.frame
lagdl                   Lagging which returns a data.list
lagvec                  Lag by shifting
lapply_cbind            Helper which does lapply and then cbind
lapply_cbind_df         Helper which does lapply, cbind and then
                        as.data.frame
lapply_rbind            Helper which does lapply and then rbind
lapply_rbind_df         Helper which does lapply, rbind and then
                        as.data.frame
lm_fit                  Fit an onlineforecast model with 'lm'
lm_optim                Optimize parameters for onlineforecast model
                        fitted with LM
lm_predict              Prediction with an lm forecast model.
long_format             Long format of prediction data.frame
lp                      First-order low-pass filtering
lp_vector               First-order low-pass filtering
lp_vector_cpp           Low pass filtering of a vector.
make_input              Make a forecast matrix (as data.frame) from
                        observations.
make_periodic           Make an forecast matrix with a periodic time
                        signal.
make_tday               Make an hour-of-day forecast matrix
nams                    Return the column names
one                     Create ones for model input intercept
pairs.data.list         Generation of pairs plot for a data.list.
par_ts                  Set parameters for 'plot_ts()'
pbspline                Wrapper for 'bspline' with 'periodic=TRUE'
persistence             Generate persistence forecasts
plot_ts                 Time series plotting
plotly_ts.data.frame    Time series plotting
plotly_ts.data.list     Time series plotting
print.forecastmodel     Print forecast model
print_to_message        Simple function for capturing from the print
                        function and send it in a message().
pst                     Simple wrapper for paste0().
resample                Resampling to equidistant time series
resample.data.frame     Resampling to equidistant time series
residuals.data.frame    Calculate the residuals given a forecast matrix
                        and the observations.
rls_fit                 Fit an onlineforecast model with Recursive
                        Least Squares (RLS).
rls_optim               Optimize parameters for onlineforecast model
                        fitted with RLS
rls_predict             Prediction with an rls model.
rls_prm                 Function for generating the parameters for RLS
                        regression
rls_summary             Print summary of an onlineforecast model fitted
                        with RLS
rls_update              Updates the model fits
rls_update_cpp          Calculating k-step recursive least squares
                        estimates
rmse                    Computes the RMSE score.
score                   Calculate the score for each horizon.
setpar                  Setting 'par()' plotting parameters
stairs                  Plotting stairs with time point at end of
                        interval.
state_getval            Get the state value kept in last call.
state_setval            Set a state value to be kept for next the
                        transformation function is called.
step_optim              Forward and backward model selection
subset.data.list        Take a subset of a data.list.
summary.data.list       Summary with checks of the data.list for
                        appropriate form.
summary.rls_fit         Print summary of an onlineforecast model fitted
                        with RLS
