adoptr (version 1.1.1)

cumulative_distribution_function: Cumulative distribution function

Description

cumulative_distribution_function evaluates the cumulative distribution function of a specific distribution dist at a point x.

Usage

cumulative_distribution_function(dist, x, n, theta, ...)
# S4 method for Binomial,numeric,numeric,numeric
cumulative_distribution_function(dist, x, n, theta, ...)
# S4 method for ChiSquared,numeric,numeric,numeric
cumulative_distribution_function(dist, x, n, theta, ...)
# S4 method for NestedModels,numeric,numeric,numeric
cumulative_distribution_function(dist, x, n, theta, ...)
# S4 method for Normal,numeric,numeric,numeric
cumulative_distribution_function(dist, x, n, theta, ...)
# S4 method for Student,numeric,numeric,numeric
cumulative_distribution_function(dist, x, n, theta, ...)
# S4 method for Survival,numeric,numeric,numeric
cumulative_distribution_function(dist, x, n, theta, ...)

Value

value of the cumulative distribution function at point x.

Arguments

dist

a univariate distribution object

x

outcome

n

sample size

theta

distribution parameter

...

further optional arguments

Details

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.

Examples

cumulative_distribution_function(Binomial(.1, TRUE), 1, 50, .3)

cumulative_distribution_function(Pearson2xK(3), 1, 30, get_tau_Pearson2xK(c(0.3,0.4,0.7,0.2)))
cumulative_distribution_function(ZSquared(TRUE), 1, 35, get_tau_ZSquared(0.4, 1))


cumulative_distribution_function(ANOVA(3), 1, 30, get_tau_ANOVA(c(0.3, 0.4, 0.7, 0.2)))

cumulative_distribution_function(Normal(), 1, 50, .3)

cumulative_distribution_function(Student(two_armed = FALSE), .75, 50, .9)

cumulative_distribution_function(Survival(0.6,TRUE),0.75,50,0.9)