For discrete distributions, the probability mass function.

## Usage

cdf(d, x, drop = TRUE, ...)

## Arguments

d

A probability distribution object such as those created by a call to Bernoulli(), Beta(), or Binomial().

x

A vector of elements whose cumulative probabilities you would like to determine given the distribution d.

drop

logical. Should the result be simplified to a vector if possible?

...

Unused. Unevaluated arguments will generate a warning to catch mispellings or other possible errors.

## Value

Probabilities corresponding to the vector x.

## Examples


X <- Normal()

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