Description Usage Arguments Details Examples

`cumulative_distribution_function`

evaluates the cumulative distribution
function of a specific distribution `dist`

at a point `x`

.

1 2 3 4 5 6 7 8 9 10 | ```
cumulative_distribution_function(dist, x, n, theta, ...)
## S4 method for signature 'Binomial,numeric,numeric,numeric'
cumulative_distribution_function(dist, x, n, theta, ...)
## S4 method for signature 'Normal,numeric,numeric,numeric'
cumulative_distribution_function(dist, x, n, theta, ...)
## S4 method for signature 'Student,numeric,numeric,numeric'
cumulative_distribution_function(dist, x, n, theta, ...)
``` |

`dist` |
a univariate |

`x` |
outcome |

`n` |
sample size |

`theta` |
distribution parameter |

`...` |
further optional arguments |

If the distribution is `Binomial`

,
theta denotes the rate difference between
intervention and control group.
Then, the mean is assumed to be
√ n theta.

If the distribution is `Normal`

, then
the mean is assumed to be
√ n theta.

1 2 3 4 5 | ```
cumulative_distribution_function(Binomial(.1, TRUE), 1, 50, .3)
cumulative_distribution_function(Normal(), 1, 50, .3)
cumulative_distribution_function(Student(two_armed = FALSE), .75, 50, .9)
``` |

adoptr documentation built on June 28, 2021, 5:11 p.m.

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