Implements a normal data distribution for z-values given an observed z-value
and stage size.
Standard deviation is 1 and mean θ √n where
θ is the standardized effect size.
The option two_armed can be set to decide whether a one-arm or a
two-arm design should be computed.
Usage
Normal(two_armed = TRUE)
# S4 method for Normal
quantile(x, probs, n, theta, ...)
# S4 method for Normal,numeric
simulate(object, nsim, n, theta, seed = NULL, ...)
Arguments
two_armed
logical indicating if a two-armed trial is regarded
x
outcome
probs
vector of probabilities
n
sample size
theta
distribution parameter
...
further optional arguments
object
object of class Normal
nsim
number of simulation runs
seed
random seed
Details
See DataDistribution-class for more details.
See Also
see probability_density_function and
cumulative_distribution_function to evaluate the pdf
and the cdf, respectively.