Markov two-state missingness model (missingness_model)

Source: R/time_series_model.R

Constructs a missingness_model representing a two-state Markov process for missing/observed indicators. The process takes values in {0, 1}, where 1 indicates observed and 0 indicates missing.

markov_two_states(p1 = NULL, p2 = NULL)

Arguments

p1

Transition probability from observed (1) to missing (0).

p2

Transition probability from missing (0) to observed (1).

Value

A missingness_model object.

Examples

mod <- markov_two_states(p1 = 0.05, p2 = 0.95)
mod
#> Missingness process
#>   Model      : Markov Two States 
#>   Parameters : p1 =  0.05, p2 =  0.95 
z <- generate(mod, n = 200, seed = 123)
plot(z)