View source: R/test_conditional_independence.R
Generate bootstrap replicates under the null hypothesis that the first two variables are conditionally independent given the rest of the variables.
1 2 3 4 5 6 7 8 9 10 | replicate_under_ci(
lg_object,
n_rep,
nodes,
M = NULL,
M_sim = 1500,
M_corr = 1.5,
n_corr = 1.2,
extend = 0.3
)
|
lg_object |
An object of type |
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 |
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