Skip to contents

Define data availability scenarios

Source: R/data-scenarios.R
define_scenarios.Rd

Define data availability scenarios

Usage

define_scenarios(
  seq_lag = 0:3,
  seq_samples = seq(1, by = -0.25, length.out = 4),
  voc_scale = list(c(0, 0.5))
)

Arguments

seq_lag

The number of weeks that sequences lag the date. Default is to test 0 to 3 weeks of lag.

seq_samples

Fraction of samples to include (deterministic scaling). The default is to test all samples down to 25% of samples by 25% increments.

voc_scale

A list of mean and standard deviations to use to inform the prior for additional transmissibility of the VOC variant. The default a uninformed no prior knowledge prior (0, 0.5). adjusted growth (0.74, 0.1).

Value

A data frame of scenario definitions with ids

See also

Functions to define and create data scenarios generate_obs_scenario(), update_obs_availability()

Examples

define_scenarios()
#>     id seq_lag seq_samples voc_scale
#>  1:  1       0        1.00   0.0,0.5
#>  2:  2       0        0.75   0.0,0.5
#>  3:  3       0        0.50   0.0,0.5
#>  4:  4       0        0.25   0.0,0.5
#>  5:  5       1        1.00   0.0,0.5
#>  6:  6       1        0.75   0.0,0.5
#>  7:  7       1        0.50   0.0,0.5
#>  8:  8       1        0.25   0.0,0.5
#>  9:  9       2        1.00   0.0,0.5
#> 10: 10       2        0.75   0.0,0.5
#> 11: 11       2        0.50   0.0,0.5
#> 12: 12       2        0.25   0.0,0.5
#> 13: 13       3        1.00   0.0,0.5
#> 14: 14       3        0.75   0.0,0.5
#> 15: 15       3        0.50   0.0,0.5
#> 16: 16       3        0.25   0.0,0.5