Generate bootstrap replicates under the null hypothesis that the first two variables are conditionally independent given the rest of the variables.
replicate_under_ci(lg_object, n_rep, nodes, M = NULL, M_sim = 1500,
M_corr = 1.5, n_corr = 1.2, extend = 0.3)An object of type lg, as produced by the
lg_main-function
The number of replicated bootstrap samples
Either the number of equidistant nodes to generate, or a vector of nodes supplied by the user
The value for M in the accept-reject algorithm if already known
The number of replicates to simulate in order to find a value for M
Correction factor for M, to be on the safe side
Correction factor for n_new, so that we mostly will generate enough observations in the first go
How far to extend the grid beyond the extreme data points when interpolating, in share of the range