cosuff.g_copula.nulls: Generate null samples for Gaussian copula covariates via...

In LuZhangH/floodgate: Floodgate: inference for model-free variable importance

Description

This function generates co-sufficient null samples of a given subset of variables for Gaussian copula covariates.

Usage

cosuff.g_copula.nulls(X, i2, n21, S, K, sigma_X.list_S, verbose = FALSE)

Arguments

X	a n by p matrix, containing all the covariates.
i2	index of inference samples
n21	number of batches, and the batch size will be |i2|/n21
S	a subset of covariates, for which null samples are constructed.
K	number of null replicates.
sigma_X.list_S	a list of length |S|, with each element being the variance of the conditional distribution of the multivariate Gaussian.
verbose	whether to show intermediate progress (default: FALSE).

Value

nulls.list_S: a list of length |S| whose element is a (|i2|*K)-dimensional vector, which contains K set of null samples.

References

\insertRef

LZ-LJ:2020floodgate

See Also

Other sampling: cosuff.gaussian.nulls(), sample.g_copula.nulls(), sample.gaussian.nulls()

LuZhangH/floodgate documentation built on Aug. 30, 2020, 2:10 a.m.