predictive_samples

<p>Dataframe with dates for predictions (column ds), and capacity
(column cap) if logistic growth.</p>

<p>Sample from the posterior predictive distribution.</p>

Implements a procedure for forecasting time series data based on
an additive model where non-linear trends are fit with yearly and weekly
seasonality, plus holidays.  It works best with daily periodicity data with
at least one year of historical data.  Prophet is robust to missing data,
shifts in the trend, and large outliers.

Sean Taylor

prophet

predictive_samples: Sample from the posterior predictive distribution.

Description

Usage

Arguments

Value