update_horizon

Numeric, defaults to 7. Number of days into the future to forecast.

horizon

Date, defaults to maximum found in the data if not specified.

target_date

A data frame of confirmed cases (confirm) by date (date). confirm must be integer and date must be
in date format.

reported_cases

Makes sure that a forecast is returned for the user specified
time period beyond the target date.

Estimates the time-varying reproduction number, rate of spread,
and doubling time using a range of open-source tools (Abbott et al. (2020) <doi:10.12688/wellcomeopenres.16006.1>),
and current best practices (Gostic et al. (2020) <doi:10.1101/2020.06.18.20134858>).
It aims to help users avoid some of the limitations of naive implementations in a framework
that is informed by community feedback and is under active development.

Sam Abbott 

EpiNow2

Estimate Real-Time Case Counts and Time-Varying Epidemiological
Parameters

Sam Abbott

Joel Hellewell

Katharine Sherratt

Katelyn Gostic

Joe Hickson

Hamada S. Badr

Michael DeWitt

Robin Thompson

Sophie Meakin

James Munday

Nikos Bosse

Paul Mee

Peter Ellis

EpiForecasts 

Sebastian Funk

update_horizon function

Updates Forecast Horizon Based on Input Data and Target — update_horizon

Updates Forecast Horizon Based on Input Data and Target

update_horizon: Updates Forecast Horizon Based on Input Data and Target

Description

Usage

Arguments

Value