Man pages for flostracke/efor
efor: EasyFORcasting, a package assisting forecasting multiple timeseries

calc_yardstick_metricswrapper for calculating metrics with yardstick functions
check_input_dataFunction verifies that the dataframe has the correcht column...
choose_dtl_metricThe functions calcualtes one specific metric for all...
create_forecastActually calls the forecast functions and applies sweep to...
create_forecasting_datesCreates a vector with the dates for which the forecasts...
forecasts_prophetCreates forecast with prophet for a dateframe.
forecasts_timeseriesWrapper function for forecasts from the forecast package
get_subsetGets a subet of n iterates of the dataset
get_unique_iteratesFunction returns a vector with the unique iterates in a...
pipePipe operator
tf_build_forecastFunction creates a dataframe with the forecasts. The...
tf_calc_metricsCalculates different metrics for multiple models.
tf_count_best_methodCounts how often each method is the best method against a...
tf_create_modelCreates models based on ts objects.
tf_forecastCreates forecast for a dateframe.
tf_get_best_methodChooses the best method against a validation set from...
tf_grouped_forecastsCreates forecast for a dateframe with mutlitple timeseries...
tf_mean_forecastReturns a simple mean forecast for each iterate
tf_plot_n_forecastsThe functions plots the n best or worst forecasts for a given...
tf_plot_preds_actualsPlots the generated forecast against the actual values for...
tf_plot_residualsPlots the distribtuion of the residuals of each method
tf_prophet_gridGridseach for Prophetmodels.
flostracke/efor documentation built on June 5, 2019, 5:36 p.m.