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Generate a random probability based on features of the simulation

Source: R/simulation-utils.R
cfg_beta_prob_rng.Rd

Generate a random probability based on features of the simulation

Usage

cfg_beta_prob_rng(probability_fn = ~0.8, kappa_fn = ~0.1)

Arguments

probability_fn

a function which gives the time-varying mean of a beta distribution, The function will be called minimally with .x or `t“ which will be the time as a time period. Other variables may be present.

kappa_fn

a function which gives the time-varying dispersion of a beta distribution. The function will be called with minimally .x or t which will be the time period and .y or mean will be the mean. Other variables may be present.

Value

a time dependent function that inputs a time (as a time_period) and returns an probability for each day defined by the probability_fn and kappa_fn

See also

rbeta2()

Examples

fn = cfg_beta_prob_rng(~ ifelse(.x<=5,0.1,0.9))
fn(1:10)
#>  [1] 0.09994303 0.10665743 0.11315549 0.08053910 0.09749180 0.90247668
#>  [7] 0.90286478 0.90559741 0.89325780 0.91719053