distributional_seed: Function for creating distributional seeds

In rothenhaeusler/calinf: Calibrated inference: inference that accounts for both sampling and distributional uncertainty

Function for creating distributional seeds

Description

Function for creating distributional seeds

Usage

distributional_seed(n, delta)

Arguments

n	The sample size
delta	The pertubation parameter

Examples

d_seed <- distributional_seed(1000,10)
qqnorm(drnorm(d_seed))
# Compare to standard normal
qqnorm(rnorm(1000))

rothenhaeusler/calinf documentation built on May 2, 2022, 12:44 p.m.