replicate_under_ci {lg}

Bootstrap replication under the null hypothesis

Description

Generate bootstrap replicates under the null hypothesis that the first two variables are conditionally independent given the rest of the variables.

Usage

replicate_under_ci(lg_object, n_rep, nodes, M = NULL, M_sim = 1500,
  M_corr = 1.5, n_corr = 1.2, extend = 0.3)

Arguments

lg_object

An object of type lg, as produced by the lg_main-function

n_rep

The number of replicated bootstrap samples

nodes

Either the number of equidistant nodes to generate, or a vector of nodes supplied by the user

M

The value for M in the accept-reject algorithm if already known

M_sim

The number of replicates to simulate in order to find a value for M

M_corr

Correction factor for M, to be on the safe side

n_corr

Correction factor for n_new, so that we mostly will generate enough observations in the first go

extend

How far to extend the grid beyond the extreme data points when interpolating, in share of the range