multi_trajectories_to_binned_distributions: Convert a collection of matrices of sampled trajectories for...

In reichlab/cdcForecastUtils: Utility functions for CDC forecasts

Description

Convert a collection of matrices of sampled trajectories for different units (e.g., different locations or age groups) to binned distributions for short-term and/or seasonal targets.

Usage

multi_trajectories_to_binned_distributions(
  multi_trajectories,
  targets,
  h_max,
  bins,
  season_start_ew,
  season_end_ew,
  cdc_report_ew
)

Arguments

multi_trajectories	tibble with at minimum a column called 'trajectories' containing simulated trajectories. Other columns may also be provided which are treated as uniquely identifying units such as locations or age groups.
h_max	largest horizon for short-term targets
targets:	character vector specifying targets to compute. May include: "wk ahead", "Below baseline for 3 weeks", "First week below baseline", "Peak height", "Peak week"
bins:	vector of start and end points for incidence targets. For example: c(seq(from = 0.0, to = 25.0, by = 0.1), 100.0)
season_start_ew:	character specification of season start epidemic week, formatted as "2019-EW40"
season_end_ew:	character specification of season end epidemic week, formatted as "2020-EW20"
cdc_report_ew:	character specification of epidemic week corresponding to most recent cdc report, formatted as "2019-EW40"

Value

data frame with columns: ...: columns in multi_trajectories other than 'trajectories' target: with values coming from names(bins) type: populated with "Bin" bin: name of bin for categorical targets, lower endpoint of bin for numeric targets value: proportion of trajectories falling in bin

reichlab/cdcForecastUtils documentation built on May 6, 2020, 10:43 a.m.