knockoffs_mx: Gaussian MX-knockoffs for continuous variables
In kormama1/seqknockoff: Sequential knockoffs for continuous and categorical variables
Description
Usage
Arguments
Details
Value
Examples
Description
Gaussian MX-knockoffs for continuous variables
Usage
1
knockoffs_mx(X)
Arguments
X
data.frame (or tibble) with "numeric" columns only. The number of columns, ncol(X) needs to be > 2.
Details
knockoffs_mx performs MX knockoff simulation.
Value
Second-order multivariate Gaussian knockoff copy of X
Examples
1
2
3
4
5
6
7
#' library(seqknockoff)
set.seed(1)
X <- generate_X(n=100, p=6, p_b=0, cov_type="cov_equi", rho=0.5)
Xk <- knockoffs_mx(X)
kormama1/seqknockoff documentation built on April 11, 2021, 7:44 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Details Value Examples
Description
Gaussian MX-knockoffs for continuous variables
Usage
1 | knockoffs_mx(X)
|
Arguments
X |
data.frame (or tibble) with "numeric" columns only. The number of columns, ncol(X) needs to be > 2. |
Details
knockoffs_mx performs MX knockoff simulation.
Value
Second-order multivariate Gaussian knockoff copy of X
Examples
1 2 3 4 5 6 7 | #' library(seqknockoff)
set.seed(1)
X <- generate_X(n=100, p=6, p_b=0, cov_type="cov_equi", rho=0.5)
Xk <- knockoffs_mx(X)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.