%>%                     Pseudo-function to re-export *magrittr*'s pipe.
base functions          Pseudo-function to re-export functions from the
                        *stats* package.
data_london             Example observational data for the *rmweather*
                        package.
data_london_normalised
                        Example of meteorologically normalised data for
                        the *rmweather* package.
dplyr functions         Pseudo-function to re-export *dplyr*'s common
                        functions.
model_london            Example *ranger* random forest model for the
                        *rmweather* package.
rmw_calculate_model_errors
                        Function to calculate observed-predicted error
                        statistics.
rmw_clip                Function to "clip" the edges of a normalised
                        time series after being produced with
                        'rmw_normalise'.
rmw_do_all              Function to train a random forest model to
                        predict (usually) pollutant concentrations
                        using meteorological and time variables and
                        then immediately normalise a variable for
                        "average" meteorological conditions.
rmw_find_breakpoints    Function to detect breakpoints in a data frame
                        using a linear regression based approach.
rmw_model_nested_sets   Function to train random forest models using a
                        nested tibble.
rmw_model_statistics    Functions to extract model statistics from a
                        model calculated with 'rmw_calculate_model'.
rmw_nest_for_modelling
                        Function to nest observational data before
                        modelling with *rmweather*.
rmw_normalise           Function to normalise a variable for "average"
                        meteorological conditions.
rmw_normalise_nested_sets
                        Function to normalise a variable for "average"
                        meteorological conditions in a nested tibble.
rmw_partial_dependencies
                        Function to calculate partial dependencies
                        after training with *rmweather*.
rmw_plot_importance     Function to plot random forest variable
                        importances after training by
                        'rmw_train_model'.
rmw_plot_normalised     Function to plot the meteorologically
                        normalised time series after 'rmw_normalise'.
rmw_plot_partial_dependencies
                        Function to plot partial dependencies after
                        calculation by 'rmw_partial_dependencies'.
rmw_plot_test_prediction
                        Function to plot the test set and predicted set
                        after 'rmw_predict_the_test_set'.
rmw_predict             Function to predict using a *ranger* random
                        forest.
rmw_predict_nested_partial_dependencies
                        Function to calculate partial dependencies from
                        a random forest models using a nested tibble.
rmw_predict_nested_sets
                        Function to make predictions from a random
                        forest models using a nested tibble.
rmw_predict_nested_sets_by_year
                        Function to make predictions by meteorological
                        year from a random forest models using a nested
                        tibble.
rmw_predict_the_test_set
                        Functions to use a model to predict the
                        observations within a test set after
                        'rmw_calculate_model'.
rmw_prepare_data        Function to prepare a data frame for modelling
                        with *rmweather*.
rmw_train_model         Function to train a random forest model to
                        predict (usually) pollutant concentrations
                        using meteorological and time variables.
system_cpu_core_count   Function to return the system's number of CPU
                        cores.
wday_monday             Function to get weekday number from a date
                        where '1' is Monday and '7' is Sunday.
zzz                     Squash the global variable notes when building
                        a package.
