Produces a sequence of random noise which would generate an observed sequence of finite symbols provided that the sequence of symbols results from a Bernoulli process.
diid.disturbance(x, random = TRUE, estimates = FALSE)A sequence of finite symbols represented as a character vector.
This can be a logical value or a number in the range 0-1. If TRUE, random noise will be generated. If FALSE, the constant value 0.5 will be used as the noise source. If a value in the range 0-1 is specified, that value will be used as a constant noise source. the default value is TRUE.
A logical value specifying if the distribution estimated for the Bernoulli process should be included in the return.
If estimates is TRUE, returns a list containing the following components:
the sequence of random noise as a numeric vector.
The stationary distribution estimated from x.
Otherwise, if estimate is FALSE, returns the sequence of random noise as a numeric vector.