StudentDataDistribution-class: Student's t data distribution

In kkmann/adoptr: Adaptive Optimal Two-Stage Designs in R

Student's t data distribution

Description

Implements exact t-distributions instead of a normal approximation

Usage

Student(two_armed = TRUE)

## S4 method for signature 'Student'
quantile(x, probs, n, theta, ...)

## S4 method for signature 'Student,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 Student
nsim	number of simulation runs
seed	random seed

See Also

see probability_density_function and cumulative_distribution_function to evaluate the pdf and the cdf, respectively.

Examples

datadist <- Student(two_armed = TRUE)

kkmann/adoptr documentation built on Feb. 3, 2024, 6:55 p.m.