For discrete distributions, the probabilty mass function.

cdf(d, x, ...)

## Arguments

d A probability distribution object such as those created by a call to Bernoulli(), Beta(), or Binomial(). A vector of elements whose cumulative probabilities you would like to determine given the distribution d. Unused. Unevaluated arguments will generate a warning to catch mispellings or other possible errors.

## Value

A vector of probabilities, one for each element of x.

## Examples


X <- Normal()

cdf(X, c(1, 2, 3, 4, 5))#> [1] 0.8413447 0.9772499 0.9986501 0.9999683 0.9999997