delay.profile.timeseries: Title delay.profile.timeseries

In marfcg/leos.opportunity.estimator: Notification Opportunity Estimator

Description

Method to evaluate how delay profile changes through time, with varying time windows.

Usage

delay.profile.timeseries(dt, trainning = NULL)

Arguments

dt	data frame with at least the following ordered columns: location id [,1], epiweek [,2], and delay [,3] columns
trainning	How many weeks from start of time series to use as training for baseline quantiles for dealy distribution. Default: 52.

Value

Function delay.profile.timeseries returns a data.frame with quantiles for historical delay by windows of 4, 8, 26, and 52 weeks. Colum baseweek identify week of distribution calculation. Columns start and end indicates notification date interval. So, for baseweek 2014W01, start 2013W43, and end 2013W47 would report the delay distribution for cases notified between 2013W43 and 2013W47 to be used as reference for week 2014W01 delay pattern with a window of 4 weeks.

marfcg/leos.opportunity.estimator documentation built on Nov. 21, 2019, 11:07 p.m.