fit.prophet

<p>Additional arguments passed to the <code>optimizing</code> or
<code>sampling</code> functions in Stan.</p>

<p>This sets m$params to contain the fitted model parameters. It is a list
with the following elements:
  k (M array): M posterior samples of the initial slope.
  m (M array): The initial intercept.
  delta (MxN matrix): The slope change at each of N changepoints.
  beta (MxK matrix): Coefficients for K seasonality features.
  sigma_obs (M array): Noise level.
Note that M=1 if MAP estimation.</p>

Implements a procedure for forecasting time series data based on
an additive model where non-linear trends are fit with yearly, weekly, and
daily seasonality, plus holiday effects. It works best with time series
that have strong seasonal effects and several seasons of historical data.
Prophet is robust to missing data and shifts in the trend, and typically
handles outliers well.

fit.prophet: Fit the prophet model.

Description

Usage

Arguments