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. |