Automatic Forecasting Procedure


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Documentation for package ‘prophet’ version 0.1.1

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compile_stan_model Compile Stan model
df_for_plotting Merge history and forecast for plotting.
fit.prophet Fit the prophet model.
fourier_series Provides Fourier series components with the specified frequency and order.
get_changepoint_matrix Gets changepoint matrix for history dataframe.
get_prophet_stan_model Load compiled Stan model
linear_growth_init Initialize linear growth.
logistic_growth_init Initialize logistic growth.
make_all_seasonality_features Dataframe with seasonality features.
make_future_dataframe Make dataframe with future dates for forecasting.
make_holiday_features Construct a matrix of holiday features.
make_seasonality_features Data frame with seasonality features.
piecewise_linear Evaluate the piecewise linear function.
piecewise_logistic Evaluate the piecewise logistic function.
plot.prophet Plot the prophet forecast.
plot_holidays Plot the holidays component of the forecast.
plot_trend Plot the prophet trend.
plot_weekly Plot the weekly component of the forecast.
plot_yearly Plot the yearly component of the forecast.
predict.prophet Predict using the prophet model.
predict_seasonal_components Predict seasonality broken down into components.
predict_trend Predict trend using the prophet model.
predict_uncertainty Prophet uncertainty intervals.
prophet Prophet forecaster.
prophet_plot_components Plot the components of a prophet forecast. Prints a ggplot2 with panels for trend, weekly and yearly seasonalities if present, and holidays if present.
sample_model Simulate observations from the extrapolated generative model.
sample_predictive_trend Simulate the trend using the extrapolated generative model.
setup_dataframe Prepare dataframe for fitting or predicting.
set_auto_seasonalities Set seasonalities that were left on auto.
set_changepoints Set changepoints
validate_inputs Validates the inputs to Prophet.