r-cran-prophet - 1.0+dfsg-4 main

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.